towards secure and dependaple storage services in cloud computing

Towards Secure and Dependable Storage Services in Cloud Computing

AbstractIn this paper we explore a technique to secure and dependable storage service. Generally Cloud storage enables users to remotely store their data and enjoy the on-demand high quality cloud applications without the burden of local hardware and software management. Though the benefits are clear, such a service is also relinquishing usersphysical possession of their outsourced data, which inevitably poses new security risks towards the correctness of the data in cloud. In order to address this new problem and further achieve a secure and dependable cloud storage service, we propose in this paper a flexible distributed storage integrity auditing mechanism, utilizing the homomorphic token and distributed erasure-coded data. The proposed design allows users to audit the cloud storage with very lightweight communication and computation cost. The auditing result not only ensures strong cloud storage correctness guarantee, but also simultaneously achieves fast data error localization, i.e., the identification of misbehaving server.

TABLE OF CONTENTSCHAPTER NO.TITLEPAGE NO.

ABSTRACTLIST OF FIGURESLIST OF SYMBOLSLIST OF ABBREVIATIONSLIST OF TABLESiv

1.CHAPTER 1 : INTRODUCTION0. GENERAL0. OBJECTIVE0. EXISTING SYSTEM1.3.1EXISTINGSYSTEMDISADVANTAGES1.3.2 LITERATURE SURVEY1.4 PROPOSED SYSTEM1.4.1 PROPOSED SYSTEM ADVANTAGES

2.CHAPTER 2 :PROJECT DESCRIPTION2.1 GENERAL2.2 PROBLEM DEFINATION2.3 METHODOLOGIES 2.3.1 MODULES NAME 2.3.2 MODULES EXPLANATION 2.3.3 MODULE DIAGRAM 2.3.4GIVEN INPUT AND EXPECTED OUTPUT2.4 TECHNIQUE OR ALGORITHM

3.CHAPTER 3 : REQUIREMENTS3.1 General

3.2 Hardware REQUIREMENTS

3.3 Software REQUIREMENTS

3.4 Functional Specification

3.5 Non-Functional SpecificatioN

4.CHAPTER 4 : SYSTEM DESIGN4.1 general4.1.1 activity diagram4.1.2 USE CASE DIAGRAM4.1.3 DATA FLOW DIAGRAM4.1.4SEQUENCE DIAGRAM4.1.5COLLABORATION DIAGRAM4.1.6CLASS DIAGRAM4.1.7 SYSTEM ARCHITECTURE4.1.8 OBJECT DIAGRAM4.1.9 STATE DIAGRAM4.1.10 COMPONENT DIAGRAM 4.1.11 E-R DIAGRAM4.2 DATABASE DESIGN

5.CHAPTER 5 :SOFTWARE SPECIFICATION5.1 generalFRONT END5.2 features of java 5.2.1 the java framework 5.2.2 objective of java 5.2.3 componets of java frmework5.3 features of the common language runtime5.4 j2ee 5.4.1 EVALUTION OF J2EE5.4.2 THE J2EE DATA ARCHITECTURE5.5.3 COMPONENT CLASSES THAT MAKE UP DATA PROVIDERS

6.CHAPTER 6 : IMPLEMENTATION6.1 GENERAL6.2 IMPLEMENTATION 6.3 DATA BASE TABLE STRUCTURE

7.CHAPTER 7 : SNAPSHOTS7.1 GENERAL7.2 VARIOUS SNAPSHOTS

8.CHAPTER 8 : SOFTWARE TESTING8.1 GENERAL8.2 DEVELOPING METHODOLOGIES8.3 TYPES OF TESTING

9.CHAPTER 9 :APPLICATIONS AND FUTURE ENHANCEMENT9.1 GENERAL9.2 APPLICATIONS9.3 FUTURE ENHANCEMENTS

10CHAPTER 10 :10.1CONCLUSION10.2 REFERENCES

LIST OF FIGURESFIGURE NONAME OF THE FIGUREPAGE NO.

2.3.2Module Diagram

4.2Activity Diagram

4.3Use case Diagram

4.4Data flow diagram

4.5Sequence diagram

4.6Collaboration diagram

4.7Class diagram

4.8Architecture Diagram

4.9Object Diagram

4.10State Diagram

4.11Component Diagram

LIST OF SYSMBOLS

S.NONOTATIONNAMENOTATIONDESCRIPTION

+ public-private# protectedClass Name-attribute-attribute+operation+operation+operation

Represents a collection of similar entities grouped together.

Association

nameClass AClass BClass BClass A

Associations represents static relationships between classes. Roles represents the way the two classes see each other.

Class AClass A

Class BClass B

It aggregates several classes into a single classes.

AggregationInteraction between the system and external environment

Relation (uses)

Used for additional process communication.

6.Relation(extends) extends Extends relationship is used when one use case is similar to another use case but does a bit more.

7.Communication

Communication between various use cases.

8.State

State of the processs.

9.Initial State

Initial state of the object

Final state

F inal state of the object

11.Control flow

Represents various control flow between the states.

Decision box

Represents decision making process from a constraint

Usecase

Usescase

Interact ion between the system and external environment.

Component

Represents physical modules which is a collection of components.

Represents physical modules which are a collection of components.

Data Process/State

A circle in DFD represents a state or process which has been triggered due to some event or acion.

External entity

Represents external entities such as keyboard,sensors,etc.

Transition

Represents communication that occurs between processes.

19.Object Lifeline

Represents the vertical dimensions that the object communications.

20.Message

Message

Represents the message exchanged.

LIST OF ABBREVATION

S.NOABBREVATIONEXPANSION

1.CSPcloud service providers

2. CSCloud Server

3.TPAThird Party Auditor

4.LANLocal Area Network

5.ISPInternet Service Provider

CHAPTER 1

INTRODUCTION

1.1. GENERALSEVERAL trends are opening up the era of Cloud Computing, which is an Internet-based development and use of computer technology. The ever cheaper and more powerful processors, t ogether with the software as a service computing architecture, are transforming data centers into pools of computing service on a huge scale. The increasing network bandwidth and reliable yet flexible network connections make it even possible that users can now subscribe high quality services from data and software that reside solely on remote data centers. Moving data into the cloud offers great convenience to users since they dont have to care about the complexities of direct hardware management. The pioneer of Cloud Computing vendors, Amazon Simple Storage Service ( and Amazon Elastic Compute Cloud are both well known examples. While these internet-based online services do provide huge amounts of storage space and customizable computing resources, this computing platform shift, however, is eliminating the responsibility of local machines for data maintenance at the same time.1.2. OBJECTIVE

In this paper, we provide the solution of data security in cloud data storage, which is essentially a distributed storage system. To achieve the assurances of cloud data integrity and availability and enforce the quality of dependable cloud storage service for users, we propose an effective and flexible distributed scheme with explicit dynamic data support, including block update, delete, and append.

1.3 Existing SYSTEM

Cloud computing System relinquishing users physical possession of their outsourced data, which inevitably poses new security risks towards the correctness of the data in cloud. In existing system privacy data will be stolen by network. This cause the identification of misbehaving server.

1.3.1 LITERATURE SURVEY

1.3.1.1 Title:Dynamic Provable Data PossessionAuthor: C. Chris Erway Alptekin Kupc u Charalampos Papamanthou Roberto Tamassia

As storage-outsourcing services and resource-sharing networks have become popular, the problem of efciently proving the integrity of data stored at trusted servers has received increased attention. In the provable data possession (PDP) model, the client preprocesses the data and then sends it to an entrusted server for storage, while keeping a small amount of meta-data. The client later asks the server to prove that the stored data has not been tampered with or deleted (without downloading the actual data). However, the original PDP scheme applies only to static les. We present a enitional framework and efcient constructions for dynamic provable data possession (DPDP), which extends the PDP model to support provable updates to stored data. We use a new version of authenticated dictionaries based on rank information. The price of dynamic updates is a performance change from (or O(n log n)), for a le consisting of n blocks, while aintaining the same (or better, respectively) probability of misbehavior detection. Our experiments show that this slowdown is very low in practice .We also show how to apply our DPDP scheme to outsourced le systems and version control systems .

Drawback:In cloud storage systems, the server that stores the clients data is not necessarily trusted. Therefore, users would like to check if their data has been tampered with or deleted. However, outsourcing the storage of very large files (or whole file systems) to remote servers presents an additional constraint: the client should not download all stored data in order to validate it since this may be prohibitive in terms of bandwidth and time.

1.3.1.2Title: HAIL: A High-Availability and Integrity Layer for Cloud StorageAuthor: Kevin D. Bowers

Description:

We introduce HAIL (High-Availability and Integrity Layer), a distributed cryptographic system that allows a set of servers to prove to a client that a stored le is intact and retrievable. HAIL strengthens, formally unies, and streamlines distinct approaches from the cryptographic and distributed-systems communities. Proofs in HAIL are efciently computable by servers and highly compact typically tens or hundreds of bytes, irrespective of le size. HAIL cryptographically veries and reactively reallocates le shares. It is robust against an active, mobile adversary, i.e., one that may progressively corrupt the full set of servers. We propose a strong, formal adversarial model for HAIL, and rigorous analysis and parameter choices. We show how HAIL improves on the security and efciency of existing tools, like Proofs of Retrievability (PORs) deployed on individual servers. We also report on a prototype implementation.

Drawback:

As a standalone tool for testing file retrievability against a single server, though, a POR is of limited value. Detecting that a file is corrupted is not helpful if the file is irretrievable and thus the client has no recourse.

1.3.1.3Title : Incremental Cryptography: The Case of Hashing and Signing

We initiate the investigation of a new kind of eciency for cryptographic transformations.The idea is that having once applied the transformation to some documentM, the time to update the result upon modication of M should be proportional" to the \amount of modification"done to M. Thereby one obtains much faster cryptographic primitives for environments where closely related documents are undergoing the same cryptographic transformations. We provide some basic denitions enabling treatment of the new notion. We then exemplify our approach by suggesting incremental schemes for hashing and signing which are ecient according to our new measure.

Draw back:

Here more complex update operations on messages such as insertion (of a new block into the message) or deletion (of an existing block) are complex.

1.3.1.4Title: A Practical Byzantine Fault Tolerance and Proactive RecoveryAuthor: M. Castro and B. Liskov

Description:Our growing reliance on online services accessible on the Internet demands highly available systems that provide correct service without interruptions. Software bugs, operator mistakes, and malicious attacks are a major cause of service interruptions and they can cause arbitrary behavior, that is, Byzantine faults. This article describes a new replication algorithm, BFT, that can be used to build highly available systems that tolerate Byzantine faults. BFT can be used in practice to implement real services: it performs well, it is safe in asynchronous environments such as the Internet, it incorporates mechanisms to defend against Byzantine-faulty clients, and it recovers replicas proactively. The recovery mechanism allows the algorithm to tolerate any number of faults over the lifetime of the system provided fewer than 1=3 of the replicas become faulty within a small window of vulnerability. BFT has been implemented as a generic program library with a simple interface. We used the library to implement the first Byzantine-fault-tolerant NFS file system, BFS. The BFT library and BFS perform well because the library incorporates several important optimizations, the most important of which is the use of symmetric cryptography to authenticate messages. The performance results show that BFS performs 2% faster to 24% slower than production implementations of the NFS protocol that are not replicated. This supports our claim that the BFT library can be used to build practical systems that tolerate Byzantine faults.

Drawback:

It does not address the problem of fault-tolerant privacy: a faulty replica may leak information to an attacker. It is not yet practical to offer fault tolerant privacy in the general case because service operations may performarbitrary computations.

1.3.1.5 Title:Privacy-preserving public auditing for storage security in cloud computingAuthor: C. Wang, Q. Wang, K. Ren, and W. LouDescription Cloud Computing is the long dreamed vision of computing as a utility, where users can remotely store their data into the cloud so as to enjoy the on-demand high quality applications and services from a shared pool of configurable computing resources. By data outsourcing, users can be relieved from the burden of local data storage and maintenance. However, the fact that users no longer have physical possession of the possibly large size of outsourced data makes the data integrity protection in Cloud Computing a very challenging and potentially formidable task, especially for users with constrained computing resources and capabilities. Thus, enabling public auditability for cloud data storage security is of critical importance so that users can resort to an external audit party to check the integrity of outsourced data when needed. To securely introduce an effective third party auditor (TPA), the following two fundamental requirements have to be met: TPA should be able to efficiently audit the cloud data storage without demanding the local copy of data, and introduce no additional on-line burden to the cloud user; 2) The third party auditing process should bring in no new vulnerabilities towards user data privacy. In this paper, we utilize and uniquely combine the public key based homomorphic authenticator with random masking to achieve the privacy-preserving public cloud data auditing system, which meets all above requirements. To support efficient handling of multiple auditing tasks, we further explore the technique of bilinear aggregate signature to extend our main result into a multi-user setting, where TPA can perform multiple auditing tasks simultaneously. Extensive security and performance analysis shows the proposed schemes are provably secure and highly efficient.

Drawback:Too many volunteers help to verify a CSP's storage remotely, bringing in too much unnecessary burden on the CSP and possibly resulting in Denail of Service attack to the CSP; _ In contrast to the above case, many volunteers give up in verifications, wishfully thinking that someone else will do the verifications; _ The distribution of verifications time is uneven, too many verifications for some periods and too few verifications for other periods; _ Even worse, a dishonest CSP may create a lot of Sybil identities, who are announcing that they are volunteered to check the cloud storage periodically.

1.3.1.6Title: Scalable and Efcient Provable Data PossessionAuthor: Giuseppe Ateniese 1 , Roberto Di Pietro 2 , Luigi V. Mancini 3 , and Gene TsudikYear : 2008

Storage outsourcing is a rising trend which prompts a number of interesting security issues, many of which have been extensively investigated in the past. However, Provable Data Possession (PDP) is a topic that has only recently appeared in the research literature. The main issue is how to frequently, efciently and securely verify that a storage server is faithfully storing its clients (potentially very large) outsourced data. The storage server is assumed to be untrusted in terms of both security and reliability. (In other words, it might maliciously or accidentally erase hosted data; it might also relegate it to slow or off-line storage.) The problem is exacerbated by the client being a small computing device with limited resources. Prior work has addressed this problem using either public key cryptography or requiring the client to outsource its data in encrypted form. In this paper, we construct a highly efcient and provably secure PDP technique based entirely on symmetric key cryptography, while not requiring any bulk encryption. Also, in contrast with its predecessors, our PDP technique allows outsourcing of dynamic data, i.e, it efciently supports operations, such as block modication, deletion and append.

Drawback:One potentially glaring drawback of our scheme is the prefixed (at setup time) number of verifications. Furthermore, the number of tokens is independent from the number of data blocks. Thus, whenever outsourced data is extremely large, extra storage required by our approach is negligible.

1.3.1.7.Title : Privacy-Preserving Audit and Extraction of Digital ContentsAuthor : Mehul A. Shah Ram Swaminathan Mary BakerYear :2008

A growing number of online services, such as Google, Yahoo!, and Amazon, are starting to charge users for their storage. Customers often use these services to store valuable data such as email, family photos and videos, and disk backups. Today, a customer must entirely trust such external services to maintain the integrity of hosted data and return it intact. Unfortunately, no service is infallible. To make storage services accountable for data loss, we present protocols that allow a thirdparty auditor to periodically verify the data stored by a service and assist in returning the data intact to the customer. Most importantly, our protocols are privacy-preserving, in that they never reveal the data contents to the auditor. Our solution removes the burden of verication from the customer, alleviates both the customers and storage services fear of data leakage, and provides a method for independent arbitration of data retention contracts.Auditing to Keep Online Storage Services Honest Mehul A. Shah, Mary Baker, Jeffrey C. Mogul, Ram Swaminathan A growing number of online service providers offer to store customers' photos, email, le system backups, and other digital assets. Currently, customers cannot make informed decisions about the risk of losing data stored with any particular service provider, reducing their incentive to rely on these services. We argue that thirdparty auditing is important in creating an online serviceoriented economy, because it allows customers to evaluate risks, and it increases the efciency of insurancebased risk mitigation. We describe approaches and system hooks that support both internal and external auditing of online storage services, describe motivations for service providers and auditors to adopt these approaches, and list challenges that need to be resolved for such auditing to become a reality.Drawback:Here it never reveal the secret key to the auditor.so user cannot able to get the Token. The service provider, whose goal is to make a profit and maintain a reputation, has an incentive to hide data loss.

1.3.1.8 Title: Store, Forget, and Check: Using Algebraic Signatures to Check Remotely Administered StorageAuthor:Thomas Schwarz, S.J.Ethan L. MillerYear : 2006

The emerging use of the Internet for remote storage and backup has led to the problem of verifying that storage sites in a distributed system indeed store the data; this must often be done in the absence of knowledge of what the data should be. We use m/n erasure-correcting coding to safeguard the stored data and use algebraic signatureshash functions with algebraic propertiesfor verification. Our scheme primarily utilizes one such algebraic property: taking a signature of parity gives the same result as taking the parity of the signatures. To make our scheme collusionresistant, we blind data and parity by XORing them with, a pseudo-random stream. Our scheme has three advantages over existing techniques. First, it uses only small messages for verification, an attractive property in a P2P setting where the storing peers often only have a small upstream pipe. Second, it allows verification of challenges across random data without the need for the challenger to compare against the original data. Third, it is highly resistant to coordinated attempts to undetectably modify data. These signature techniques are very fast, running at tens to hundreds of megabytes per second. Because of these properties, the use of algebraic signatures will permit the construction of large-scale distributed storage systems in which large amounts of storage can be verified with minimal network bandwidth.

Drawback:

Systems like these face a number of challenges such as data privacy, protection of the data against alteration, data loss due to node unavailability and the free rider problem.

1.3.1.9 Title: A Cooperative Internet Backup Scheme Author:Andrew Birrell Mike Burrows Michael IsardYear : 2003

We present a novel peer-to-peer backup technique that allows computers connected to the Internet to back up their data cooperatively: Each computer has a set of partner computers, which collectively hold its backup data. In return, it holds a part of each partners backup data. By adding redundancy and distributing the backup data across many partners, a highly-reliable backup can be obtained in spite of the low reliability of the average Internet machine. Because our scheme requires cooperation, it is potentially vulnerable to several novel attacks involving free riding (e.g., holding a partners data is costly, which tempts cheating) or disruption. We defend against these attacks using a number of new methods, including the use of periodic random challenges to ensure partners continue to hold data and the use of disk-space wasting to make cheating unprotable. Results from an initial prototype show that our technique is feasible and very inexpensive: it appears to be one to two orders of magnitude cheaper than existing Internet backup services.Drawback:The main drawback of these techniques is the inconvenience for system owners of managing the media and transferring it off-site, especially for small installations and PC owners.

1.3.1.10 Title:Auditing to Keep Online Storage Services HonestAuthor:Mehul A. Shah, Mary Baker, Jeffrey C. Mogul, Ram Swaminathan Year :2010

A growing number of online service providers offer to store customers' photos, email, _le system backups, and other digital assets. Currently, customers cannot make informed decisions about the risk of losing data stored with any particular service provider, reducing their incentive to rely on these services. We argue that thirdparty auditing is important in creating an online serviceoriented economy, because it allows customers to evaluate risks, and it increases the efficiency of insurancebased risk mitigation. We describe approaches and system hooks that support both internal and external auditing of online storage services, describe motivations for service providers and auditors to adopt these approaches, and list challenges that need to be resolved for such auditing to become a reality.

Drawback:Auditing of online storage is not feasible . First, customers are not yet sophisticated enough to demand risk assessment. Second, online storages do not yet provide support for third party audits.

1.4 PROPOSED SYSTEMIn proposed system an effective and flexible distributed scheme with explicit dynamic data support, including block update, delete, and append. By utilizing the homomorphic token with distributed verification of erasure-coded data, our scheme achieves the integration of storage correctness insurance and data error localization, i.e., whenever data corruption has been detected during the storage correctness verification across the distributed servers.

ADAVANTAGES IN PROPOSED SYSTEM

Security enhanced in cloud data storage Identification of the misbehaving server(s). This scheme is highly efficient and resilient to Byzantine failure, malicious data modification attack

CHAPTER 22.1 GENERALTo ensure the security and dependability for cloud data storage under the aforementioned adversary model, we aim to design efficient mechanisms for dynamic data verification and operation and achieve the following goals: (1) Storage correctness: to ensure users that their data are indeed stored appropriately and kept intact all the time in the cloud. (2) Fast localization of data error: to effectively locate the malfunctioning server when data corruption has been detected. (3) Dynamic data support: to maintain the same level of storage correctness assurance even if users modify, delete or append their data files in the cloud. (4) Dependability: to enhance data availability against Byzantine failures, malicious data modification and server colluding attacks, i.e. minimizing the effect brought by data errors or server failures. (5) Lightweight: to enable users to perform storage correctness checks with minimum overhead.

2.2PROBLEM DEFINITION

Therefore, although outsourcing data into the cloud is economically attractive for the cost and complexity of long-term large-scale data storage, its lacking of offering strong assurance of data integrity and availability may impede its wide adoption by both enterprise and individual cloud users. In order to achieve the assurances of cloud data integrity and availability and enforce the quality of cloud storage service, efficient methods that enable on-demand data correctness verification on behalf of cloud users have to be designed. However, the fact that users no longer have physical possession of data in the cloud prohibits the direct adoption of traditional cryptographic primitives for the purpose of data integrity protection. Hence, the verification of cloud storage correctness must be conducted without explicit knowledge of the whole data files . Meanwhile, cloud storage is not just a third party data warehouse. 2.3 METHODOLOGIESMethodologies is the process of analyzing the principles or procedure of a Secure and Dependable Storage Services in Cloud Computing.

User Interface Third party auditing Identification of server Flexible distributed storage service Dynamic data manipulation

User Interface Design The User Interface design is done in this module. We use the Swing package available in Java to design the User Interface. Swing is a widget toolkit for Java. It is part of Sun Microsystems' Java Foundation Classes (JFC) an API for roviding a graphical user interface (GUI) for Java programs.Here we are developing webapplication. Front is developed in jsp and servlet. Back end will be a Sql server 2005. User Interface diagram would user can communicate to the web application.

Third party auditingUser can delegate the data auditing tasks to an optional trusted TPA of their respective choices. The storage verification task can be successfully delegated to third party auditing in a privacy-preservingmanner. After login to the cloud service provider user can approach the Third party auditing . Third party auditing will be provide unique token to the each user .After getting the token , User should be provide proper token. Token should be validated each time in Third party cloud.

Identification of server

In order to achieve assurance of data storage correctness and data error localization simultaneously, our scheme entirely relies on the pre-computed verification tokens. Stored data may stored in some entrusted server .so we cloud service provider should concentrate on this issues. So cloud service provider must provide security for our data. In order to overcome this problem CSP must encrypt user data.

Flexible distributed storage service

we propose in this paper flexible distributed storage integrity auditing mechanism, utilizing the homomorphic token and distributed erasure-coded data. This is used to data availability.After successful token validation by TPA next corresponding page will be displayed. In that user can upload the data.Data or file will be stored in corresponding cloud server. This is because data which is stored by user may stored in different storage space which is present in cloud server.

Dynamic data manipulationIn this module we are are implementing Dynamic data Manipulation like block append, Insertion, deletion. This is employed to data updating. While storing the data in cloud server there is a chance to store data in some other misbehaving server. The updated data will stored in corresponding server. Because user data may scattered in different storage server. So we have to analysis where our data stored . After analysis this process data will downloaded successfully.

1.3.1 MODULE DIAGRAM:Module diagram:Flexible distributed storage service:

StoreBrowseLogin

Identification of server:

Token Generation Access dataIdentification of server

Third party auditing

UserCloudThird party auditing

Dynamic data manipulation:

Dynamic data manipulationCloud serverThird party auditing

2.4 CONCLUTION

The deployment of Cloud Computing is powered by data centers running in a simultaneous, cooperated and distributed manner . It is more advantages forindividual users to store their data redundantly across multiple physical servers so as to reduce the data integrity and availability threats. Thus, distributed protocolsfor storage correctness assurance will be of most importance in achieving robust and secure cloud storage systems.

CHAPTER 3REQUIREMENTS ENGINEERING3.1 GENERALIn this paper, we propose an effective and flexible distributed storage verification scheme with explicit dynamic data support to ensure the correctness and availability of users data in the cloud. We rely on erasure correcting code in the file distribution preparation to provide redundancies and guarantee the data dependability against Byzantine servers , where a storage server may fail in arbitrary ways. This construction drastically reduces the communication and storage overhead as compared to the traditional replication-based file distributiontechniques.

3.2 HARDWARE REQUIREMENTS

The hardware requirements may serve as the basis for a contract for the implementation of the system and should therefore be a complete and consistent specification of the whole system. They are used by software engineers as the starting point for the system design. It shouls what the system do and not how it should be implemented.

PROCESSOR: PENTIUM IV 2.6 GHz,Intel Core 2 Duo.RAM:512 MB DD RAMMONITOR:15 COLORHARD DISK :40 GBCDDRIVE:LG 52XKEYBOARD: STANDARD 102 KEYSMOUSE: 3 BUTTONS

1.3 SOFTWARE REQUIREMENTS

The software requirements document is the specification of the system. It should include both a definition and a specification of requirements. It is a set of what the system should do rather than how it should do it. The software requirements provide a basis for creating the software requirements specification. It is useful in estimating cost, planning team activities, performing tasks and tracking the teams and tracking the teams progress throughout the development activity.

FRONT END : Jsp servlet

BACK END : SQL SERVER

3.3 FUNCTIONAL REQUIREMENTS

A functional requirement defines a function of a software-system or its component. A function is described as a set of inputs, the behavior, and outputs. The proposed system is achieved by suppression-based and generalization-based k-anonymous and confidential databases.The protocols rely on well-known cryptographic assumptions, and we provide theoretical analyses to proof their soundness andexperimental results to illustrate their efficiency.

3.4 NON-FUNCTIONAL REQUIREMENTS 3.5.1 EFFICIENCY

Storage correctness: to ensure users that their data are indeed stored appropriately and kept intact all the time in the cloud. Fast localization of data error: to effectively locate the malfunctioning server when data corruption has been detected 3.5.2 RELIABILITY Dynamic data support: to maintain the same level of storage correctness assurance even if users modify, delete or append their data files in the cloud. Dependability: To enhance data availability against Byzantine failures,malicious data modification and server colluding attacks, i.e. minimizing the effect brought by data errors or server failures.

CHAPTER 4

DESIGN ENGINEERING4.1 GENERALDesign Engineering deals with the various UML [Unified Modeling language] diagrams for the implementation of project. Design is a meaningful engineering representation of a thing that is to be built. Software design is a process through which the requirements are translated into representation of the software. Design is the place where quality is rendered in software engineering. Design is the means to accurately translate customer requirements into finished product.

4.2 ACTIVITY DIAGRAM

An activity diagram illustrates the dynamic nature of a system by modeling the flow of control from activity to activity. Because an activity diagram is a special kind of statechart diagram, it uses some of the same modeling conventions. After the token validation in tpa corresponding page will be displayed.

4.3 USE CASEUse case Diagram

USECASE:A use case diagram is a type of behavioral diagram created from a Use-case analysis. User can store the remotely by using cloud server. User can get the token from reputed Third party auditor. Token will be provide each storing of data in server.

4.4 DATAFLOW DIAGRAM

Data flow diagrams illustrate how data is processed by a system in terms of inputs and outputs. Adata flow diagram(DFD) is a graphical representation of the "flow" of data through aninformation system, modelling itsprocessaspects. Often they are a preliminary step used to create an overview of the system which can later be elaborated. DFDs can also be used for thevisualizationofdata processing(structured design). User store the data in cloud server through cloud service provider with the help of TPA.

DFD 0:

Third party Auditing DataUser Cloud Server

UserDynamic data manipulationData indicesPre computing token ServerDFD 1:

4.5 SEQUENCE DIAGRAMA sequence diagram in UML is a kind of interaction diagram that shows how processes operate with one another and in what order. Sequence diagrams are sometimes called Event-trace diagrams, event scenarios, and timing diagrams.User can login to cloud service provider .If user getting authenticate then user can store the data in cloud.

UserPrecomputing TokenCspcloud serverstorage distributionThird party auditingToken generationStore date to cloudstore data when serve corruptAuditingData RetrivingData Retriving4.6 COLLABORATION DIAGRAM

A collaboration diagram show the objects and relationships involved in an interaction, and the sequence of messages exchanged among the objects during the interaction A diagram is created for each system operation that relates to the current development cycle(iteration).

4.7 CLASS DIAGRAM

CLASS DIAGRAM:A class diagram in the UML, is a type of static structure diagram that describes the structure of a system by showing the systems classes, their attributes, and the relationships between the classes. User class diagram contain data which is user desire to store in cloud. And token will got from TPA .TPA having user token which is will provided to each user request.

4.8ARCHITECTURE Diagram The nodes involved are admin and clients which stands as UI for the system.The deployment is performed as per the requirements of Hardware and software specified in the requirements phase.System Architecture:

Data storageData storageData storage

Third party auditing ClientCloud server

In this figure represents In Architecture diagram, we represent a flexible distributed storage integrity auditing mechanism, utilizing the homomorphic token and distributed erasure-coded data. The proposed design allows users to audit the cloud storage with very lightweight communication and computation cost.

Object Diagram:

Generate Token :Third party AuditingUser: Cloud Service Provider

Store : Cloud Server

Object diagrams are also closely linked to class diagrams. Instance of Cloud service provider having some behavior attribute which is stored in cloud service provider.

State Diagram

STATE DIAGRAM:UML activity diagrams could potentially model the internal logic of a complex operation. In many ways UML activity diagrams are the object-oriented equivalent of flow charts and data flow diagrams (DFDs) from structural development.After getting token ,token should provide in CSP .token will be validated at every time . The provided token is valid user can store the data in cloud.

COMPONENT DIAGRAM:

A component diagram describes the organization of the physical components in a system. Components are wired together by using anassembly connectorto connect the requiredinterfaceof one component with the provided interface of another component. This illustrates theservice consumer - service providerrelationship between the two components. When using a component diagram to show the internal structure of a component cloud service provider having the component of login. Third party auditing having the token generation where values can be validated.

ER diagram:

Entity Relationship Diagrams (ERDs) illustrate the logical structure of databases. Here user ,TpA , cloud service provider and cloud server are consider as entity . The relationship between entities showed in above figure.

DATABASE DESIGN:

In this diagram three tables are involved to store data in cloud . User table contain user name and password which stored by user. Login table contain user login information.Third party auditing table contain user name and token.

4.11 CONCLUTION

Recently, the importance of ensuring the remote data integrity has been highlighted by the following research works under different system and security models. These techniques, while can be useful to ensure the storage correctness without having users possessing local data, are all focusing on single server scenario. They may be useful for quality-of-service testing but does not guarantee the data availability in case of server failures.

CHAPTER 5

DEVELOPMENT TOOLS

5.1 GENERAL

This chapter is about the software language and the tools used in the development of the project. The platform used here is JAVA. The Primary languages are JAVA,J2EE and J2ME. In this project J2EE is chosen for implementation.

5.2 FEATURES OF JAVA5.2.1 THE JAVA FRAMEWORKJava is a programming language originally developed by James Gosling at Sun Microsystemsand released in 1995 as a core component of Sun Microsystems' Java platform. The language derives much of its syntax from C and C++ but has a simpler object model and fewer low-level facilities. Java applications are typically compiled to bytecode that can run on any Java Virtual Machine (JVM) regardless of computer architecture. Java is general-purpose, concurrent, class-based, and object-oriented, and is specifically designed to have as few implementation dependencies as possible. It is intended to let application developers "write once, run anywhere". Java is considered by many as one of the most influential programming languages of the 20th century, and is widely used from application software to web applicationsThe java framework is a new platform independent that simplifies application development internet.Java technology's versatility, efficiency, platform portability, and security make it the ideal technology for network computing. From laptops to datacenters, game consoles to scientific supercomputers, cell phones to the Internet, Java is everywhere! 5.2.2 OBJECTIVES OF JAVATo see places of Java in Action in our daily life, explore java.com. Why Software Developers Choose JavaJava has been tested, refined, extended, and proven by a dedicated community. And numbering more than 6.5 million developers, it's the largest and most active on the planet. With its versatilty, efficiency, and portability, Java has become invaluable to developers by enabling them to: Write software on one platform and run it on virtually any other platform Create programs to run within a Web browser and Web services Develop server-side applications for online forums, stores, polls, HTML forms processing, and more Combine applications or services using the Java language to create highly customized applications or services Write powerful and efficient applications for mobile phones, remote processors, low-cost consumer products, and practically any other device with a digital heartbeat Some Ways Software Developers Learn JavaToday, many colleges and universities offer courses in programming for the Java platform. In addition, developers can also enhance their Java programming skills by reading Sun's java.sun.com Web site, subscribing to Java technology-focused newsletters, using the Java Tutorial and the New to Java Programming Center, and signing up for Web, virtual, or instructor-led courses. Object OrientedTo be an Object Oriented language, any language must follow at least the four characteristics.1.Inheritance :It is the process of creating the new classes and using the behavior of the existing classes by extending them just to reuse the existing code and adding addition a features as needed. 2.Encapsulation: It is the mechanism of combining the information and providing the abstraction.3.Polymorphism:As the name suggest one name multiple form, Polymorphism is the way of providing the different functionality by thefunctionshaving the same name based on the signatures of themethods. 4.Dynamic binding : Sometimes we don't have the knowledge of objects about their specific types while writing our code. It is the way of providing the maximum functionality to a program about the specific type at runtime.5.2.3JavaServer Pages - An OverviewJava Server Pages or JSP for short is Sun's solution for developing dynamic web sites. JSP provide excellent server side scripting support for creating database driven web applications. JSP enable the developers to directly insert java code into jsp file, this makes the development process very simple and its maintenance also becomes very easy. JSP pages are efficient, it loads into the web servers memory on receiving the request very first time and the subsequent calls are served within a very short period of time. In today's environment most web sites servers dynamic pages based on user request. Database is very convenient way to store the data of users and other things. JDBC provide excellent database connectivity in heterogeneous database environment. Using JSP and JDBC its very cceasy to develop database driven web application. Java is known for its characteristic of "write once, run anywhere." JSP pages are platfJavaServer Pages JavaServer Pages (JSP) technology is the Java platform technology for delivering dynamic content to web clients in a portable, secure and well-defined way. The JavaServer Pages specification extends the Java Servlet API to provide web application developers with a robust framework for creating dynamic web content on the server using HTML, and XML templates, and Java code, which is secure, fast, and independent of server platforms. JSP has been built on top of the Servlet API and utilizes Servlet semantics. JSP has become the preferred request handler and response mechanism. Although JSP technology is going to be a powerful successor to basic Servlets, they have an evolutionary relationship and can be used in a cooperative and complementary manner.Servlets are powerful and sometimes they are a bit cumbersome when it comes to generating complex HTML. Most servlets contain a little code that handles application logic and a lot more code that handles output formatting. This can make it difficult to separate and reuse portions of the code when a different output format is needed. For these reasons, web application developers turn towards JSP as their preferred servlet environment.5.2.4 Evolution of Web Applications Over the last few years, web server applications have evolved from static to dynamic applications. This evolution became necessary due to some deficiencies in earlier web site design. For example, to put more of business processes on the web, whether in business-to-consumer (B2C) or business-to-business (B2B) markets, conventional web site design technologies are not enough. The main issues, every developer faces when developing web applications, are: 1. Scalability - a successful site will have more users and as the number of users is increasing fastly, the web applications have to scale correspondingly. 2. Integration of data and business logic - the web is just another way to conduct business, and so it should be able to use the same middle-tier and data-access code. 3. Manageability - web sites just keep getting bigger and we need some viable mechanism to manage the ever-increasing content and its interaction with business systems. 4. Personalization - adding a personal touch to the web page becomes an essential factor to keep our customer coming back again. Knowing their preferences, allowing them to configure the information they view, remembering their past transactions or frequent search keywords are all important in providing feedback and interaction from what is otherwise a fairly one-sided conversation. Apart from these general needs for a business-oriented web site, the necessity for new technologies to create robust, dynamic and compact server-side web applications has been realized. The main characteristics of today's dynamic web server applications are as follows: 1. Serve HTML and XML, and stream data to the web client 2. Separate presentation, logic and data 3. Interface to databases, other Java applications, CORBA, directory and mail services 4. Make use of application server middleware to provide transactional support. 5. Track client sessions .5.2.5 Benefits of JSP One of the main reasons why the JavaServer Pages technology has evolved into what it is today and it is still evolving is the overwhelming technical need to simplify application design by separating dynamic content from static template display data. Another benefit of utilizing JSP is that it allows to more cleanly separate the roles of web application/HTML designer from a software developer. The JSP technology is blessed with a number of exciting benefits, which are chronicled as follows: 1. The JSP technology is platform independent, in its dynamic web pages, its web servers, and its underlying server components. That is, JSP pages perform perfectly without any hassle on any platform, run on any web server, and web-enabled application server. The JSP pages can be accessed from any web server. 2. The JSP technology emphasizes the use of reusable components. These components can be combined or manipulated towards developing more purposeful components and page design. This definitely reduces development time apart from the At development time, JSPs are very different from Servlets, however, they are precompiled into Servlets at run time and executed by a JSP engine which is installed on a Web-enabled application server such as BEA WebLogic and IBM WebSphere.

5.3ServletsEarlier in client- server computing, each application had its own client program and it worked as a user interface and need to be installed on each user's personal computer. Most web applications use HTML/XHTML that are mostly supported by all the browsers and web pages are displayed to the client as static documents. A web page can merely displays static content and it also lets the user navigate through the content, but a web application provides a more interactive experience.Any computer running Servlets or JSP needs to have a container. A container is nothing but a piece of software responsible for loading, executing and unloading the Servlets and JSP. While servlets can be used to extend the functionality of any Java- enabled server. They are mostly used to extend web servers, and are efficient replacement for CGI scripts. CGI was one of the earliest and most prominent server side dynamic content solutions, so before going forward it is very important to know the difference between CGI and the Servlets.5.4Java ServletsJava Servlet is a generic server extension that means a java class can be loaded dynamically to expand the functionality of a server. Servlets are used with web servers and run inside a Java Virtual Machine (JVM) on the server so these are safe and portable. Unlike applets they do not require support for java in the web browser. Unlike CGI, servlets don't use multiple processes to handle separate request. Servets can be handled by separate threads within the same process. Servlets are also portable and platform independent.A web server is the combination of computer and the program installed on it. Web server interacts with the client through a web browser. It delivers the web pages to the client and to an application by using the web browser and he HTTP protocols respectively. The define the web server as the package of large number of programs installed on a computer connected to Internet or intranet for downloading the requested files using File Transfer Protocol, serving e-mail and building and publishing web pages. A web server works on a client server model.

5.5 Conclusion JSP and Servlets are gaining rapid acceptance as means to provide dynamic content on the Internet. With full access to the Java platform, running from the server in a secure manner, the application possibilities are almost limitless. When JSPs are used with Enterprise JavaBeans technology, e-commerce and database resources can be further enhanced to meet an enterprise's needs for web applications providing secure transactions in an open platform. J2EE technology as a whole makes it easy to develop, deploy and use web server applications instead of mingling with other technologies such as CGI and ASP. There are many tools for facilitating quick web software development and to easily convert existing server-side technologies to JSP and Servlets. CHAPTER 6IMPLEMENTATION6.1 GENERALImplementation of effective and flexible distributed storage verification scheme with explicit dynamic data support to ensure the correctness and availability of users data in the cloud.6.2 Coding :

TemplateWorld - Dusky

Admin Login

Newsletter

Output

Solution

Testimonial

Contact Us

User Login Enter your username and password Not yet a Member? Register Now Projects Sed ut nisi faucibus lectus semper sagi Pellentesque ullamcorper. Next Secured Cloud Computing Cloud computing provides computation, software, data access, and storage services that do not require end-user knowledge of the physical location and configuration of the system that delivers the services. Parallels to this concept can be drawn with the electricity grid, wherein end-users consume power without needing to understand the component devices or infrastructure required to provide the service.. Cloud Computing, it almost rolls off the tongue doesnt it? If you believe the hype, cloud computing is cheaper, safer and easier than any other form of application hosting, it exists in the magical land of cloud where nothing ever goes wrong, in fact, to say its reliable is almost an understatement.. The term Cloud Computing first came about in 1960 and was used to express the notion that computing resources could someday be grouped together as a public utility. Today however, the term is used to describe a somewhat limited range of services, all of which adhere to some form of commonalities. Read More Our main purpose Towards Secure and Dependable Storage
Services in Cloud Computing

Supports secureand efficient dynamic operations

Resilient against Byzantine failure

Effective and flexibledistributed storage verification

Dynamicdata support:

New service overview

15June Suspendisse tortor leo!!! Nullam dapibus laoreet magna.uspendisse tortor leo. Quisque vel metus non ante vehicula consectetuer. BY jone jackson

16June Wqeruspendisse tortor de!!! Nullam dapibus laoreet magna.uspendisse tortor leo. Quisque vel metus non ante vehicula consectetuer. BY jone jackson

Quick Contact Put your message here Submit

Admin login

Newsletter

Output

Solution

Testimonial

Contact Us

About Us

Newsletter

Output

Solution

Testimonial

Signout

Projects Sed ut nisi faucibus lectus semper sagi Pellentesque ullamcorper. Next welcome!!!! Third party Auditor::

Welcome..

Already you hava Token Read More Our main purpose Vestibulum ante ipsum primis in faucibus orci luctus etucibus ultrices posuere cubilia Curae.

Maecenas pellentesque ipsum in pedec urabitur

Pellentesque habitant morbi tristique senectus

Nulla bibendum eros sed ultrices sollicitudin

Sed adipiscing orci metus vestibulum nibh

About Us

Newsletter

Output

Solution

Testimonial

Contact Us

function validation(){var ClientName= document.getElementById("clientid");var userName= document.getElementById("usernameid");var passWord= document.getElementById("passwordid");var RePass=document.getElementById("REpasswordid");var email= document.getElementById("emailid").value;var gender= document.getElementById("genderid");var dob= document.getElementById("dobid");var country= document.getElementById("countryid");var state= document.getElementById("stateid");var city= document.getElementById("cityid");var phno= document.getElementById("phoneid");

if(ClientName.value=="") {alert("Enter name");ClientName.focus();return false; } if(userName.value==""){alert("Enter user name");userName.focus();return false;} if(passWord.value==""){alert("Enter Password"); Phone no : Sed ut nisi faucibus lectus semper sagittis. Pellentesque ullamcorper quam fringilla lacus. Sed ut nisi faucibus lectus semper sagittis. Pellentesque ullamcorper quam fringilla lacus. Fusce nisl ipsum malesuada sed, varius ac, sagittis et, ipsum. Nullam posuere porttitor orci. Quisque semper. Curabitur urna elit, egestas condimentumsemper etrhoncus matti quam. Nulla suscipit erat ac odio. tumsemper etrhoncus wuam. Read More Our main purpose Vestibulum ante ipsum primis in faucibus orci luctus etucibus ultrices posuere cubilia Curae.

Maecenas pellentesque ipsum in pedec urabitur

Pellentesque habitant morbi tristique senectus

Nulla bibendum eros sed ultrices sollicitudin

Sed adipiscing orci metus vestibulum nibh

About Us

Newsletter

Output

Solution

Testimonial

Contact Us

package datapack;

import java.sql.*;import java.sql.SQLException;

public class DBClass{public static final DBClass DBInstance = new DBClass();Connection con;

private DBClass(){}

public static DBClass Db(){return DBInstance;}

public Connection createConnection()throws Exception{

Class.forName("sun.jdbc.odbc.JdbcOdbcDriver");con=DriverManager.getConnection("jdbc:odbc:dsnLogin");return con;}}

package javapack;import java.sql.Statement;import java.sql.PreparedStatement;import java.sql.ResultSet;

import datapack.DBClass;

public class Login{

PreparedStatement preparedstatement;Statement statement;ResultSet resultset;DBClass db;

public Login(){db=DBClass.Db();}

public void update(String name,String uname,String pword,String email,String gender,String dob,String country,String state,String city,String phno)throws Exception{//md5 obj=new md5();//String token=obj.tokenGenerationMethod(uname);

preparedstatement=db.createConnection().prepareStatement("insert into login values(?,?,?,?,?,?,?,?,?,?)");preparedstatement.setString(1,name.trim());preparedstatement.setString(2,uname.trim());preparedstatement.setString(3,pword.trim());preparedstatement.setString(4,email.trim());preparedstatement.setString(5,gender.trim());preparedstatement.setString(6,dob.trim());preparedstatement.setString(7,country.trim());preparedstatement.setString(8,state.trim());preparedstatement.setString(9,city.trim());preparedstatement.setString(10,phno.trim());//preparedstatement.setString(11,token.trim());

preparedstatement.executeUpdate();preparedstatement.close();}

CHAPTER 7SNAPSHOTS7.1 GENERALSnapshot is nothing but every moment of the application while running. It gives the clear elaborated of application. It will be useful for the new user to understand for the future steps.7.2VARIOUS SNAPSHOTS7.2.1 MAIN PAGEPurpose: User Login:User Login:

This user login page . Here user have to login. This is the cloud service provider where we can upload the data. Csp will provide the space for our data. Before that user have get appropreriate token. Registration:User have to register his/her details which store in cloud service provider.Admin Login

This is admin login. Here admin can validate. Admin have the full writes to monitor our works. The work of the admin would be a provide back up protection suppose cloud server undergoes attacks that time admin take a action.Home:This is Home page of cloud service provider. Here user can upload the data.More over User can get the token for the data storage .The token will be provided by Third party audinting who run on another cloud.Admin home:This is admin home page . Here admin can able to chage the password .Csp maintain separate database for csp. Where password can be changed by the clouds.

This is third party recommendation which is recommended by cloud service provider. By providing this token user can store their data with out relying the cloud server. Because in existing system csp can edit the user data .

TPA login:

TPA also having the validation phase where TPA have to validate. Tpa also have the admin to view the user acitivity . Admin can view the user token .

Change Password:

This image reveals the TPA admin can change the password. This can be done separate the database which is maintain in tpa database. UserToken: This image reaveals that tpa view the user token .By getting the token TPA cant able to view the user data. TPA can able to view the user Token. User home:User have to login the CSP. After successful login This page will be displayed. Here user can view or edit the data. After getting the token from TPA this page will be displayed . Suppose the user having the token means they can directly come to the page.

File view: After login user can upload their data in the cloud. User can view what are the files sho stored in the clud server. By doing this thigs there is no token validation takes place .

Upload file:

User have to provide proper token which is given by Third party auditing. Each and every file upload the token will be validated .This validation will be takes place in third party auding data base. This is run on different cloud.Store file:This page displays getting the user approval to store the data in cloud server. Browse File:

User can browse the file to upload the data. User can upload any number of file depending upon the usage . By upload button dialog will be displayed where user can select the appropreate file .

File upload successThis is page shows the file upload successfully by user. After file will stored in cloud server this page will be displayed.

Edit:User should provide proper token for editing the data. In case user wants the edit the stored content by clicking the appropreiate button . By doing so this page will displayed. That page user have to provide the token .The token will be validated in TPA.Select File:User have to select the file to edit. These are the list of files user already stored in the cloud . By providing proper token . that token will be validated. After valid user can able to edit the data.Edit:After selected file , which is displayed in the window. User can edit the data. This data will store in cloude after clicking the update button. The file be saved in clude where old file stored.Update success:

After edit the data , data will be stored in cloud server .After done this process this page will be displayed.

This is the cloud server where file will be stored . This cloud server run on one cloud.

CHAPTER 8

SOFTWARE TESTING

8.1 GENERALThe purpose of testing is to discover errors. Testing is the process of trying to discover every conceivable fault or weakness in a work product. It provides a way to check the functionality of components, sub assemblies, assemblies and/or a finished product It is the process of exercising software with the intent of ensuring that the Software system meets its requirements and user expectations and does not fail in an unacceptable manner. There are various types of test. Each test type addresses a specific testing requirement.

8.2 DEVELOPING METHODOLOGIESThe test process is initiated by developing a comprehensive plan to test the general functionality and special features on a variety of platform combinations. Strict quality control procedures are used.The process verifies that the application meets the requirements specified in the system requirements document and is bug free. The following are the considerations used to develop the framework from developing the testing methodologies.

8.3Types of Tests

8.3.1 Unit testingUnit testing involves the design of test cases that validate that the internal program logic is functioning properly, and that program input produce valid outputs. All decision branches and internal code flow should be validated. It is the testing of individual software units of the application .it is done after the completion of an individual unit before integration. This is a structural testing, that relies on knowledge of its construction and is invasive. Unit tests perform basic tests at component level and test a specific business process, application, and/or system configuration. Unit tests ensure that each unique path of a business process performs accurately to the documented specifications and contains clearly defined inputs and expected results.

8.3.2 Functional testFunctional tests provide systematic demonstrations that functions tested are available as specified by the business and technical requirements, system documentation, and user manuals.Functional testing is centered on the following items:Valid Input : identified classes of valid input must be accepted.Invalid Input : identified classes of invalid input must be rejected.Functions : identified functions must be exercised.Output : identified classes of application outputs must be exercised.Systems/Procedures : interfacing systems or procedures must be invoked.

8.3.3 System TestSystem testing ensures that the entire integrated software system meets requirements. It tests a configuration to ensure known and predictable results. An example of system testing is the configuration oriented system integration test. System testing is based on process descriptions and flows, emphasizing pre-driven process links and integration points.

8.3.4 Performance TestThe Performance test ensures that the output be produced within the time limits,and the time taken by the system for compiling, giving response to the users and request being send to the system for to retrieve the results.

8.3.5 Integration TestingSoftware integration testing is the incremental integration testing of two or more integrated software components on a single platform to produce failures caused by interface defects.The task of the integration test is to check that components or software applications, e.g. components in a software system or one step up software applications at the company level interact without error.

8.3.6 Acceptance TestingUser Acceptance Testing is a critical phase of any project and requires significant participation by the end user. It also ensures that the system meets the functional requirements.

Acceptance testing for Data Synchronization: The Acknowledgements will be received by the Sender Node after the Packets are received by the Destination Node The Route add operation is done only when there is a Route request in need The Status of Nodes information is done automatically in the Cache Updation process

8.2.7 Build the test plan

Any project can be divided into units that can be further performed for detailed processing. Then a testing strategy for each of this unit is carried out. Unit testing helps to identity the possible bugs in the individual component, so the component that has bugs can be identified and can be rectified from errors.

CHAPTER 9

APPLICATION

9.1 GENERALRecently, the importance of ensuring the remote data integrity has been highlighted by the following research works under different system and security models . These techniques, while can be useful to ensure the storage correctness without having users possessing local data, are all focusing on single server scenario. They may be useful for quality-of-service testing but does not guarantee the data availability in caseof server failures. Although direct applying these techniques to distributed storage (multiple servers) could be straightforward, the resulted storage verification overhead would be linear to the number of servers. As an complementary approach, researchers have also proposed distributed protocols for ensuring storage correctness across multiple servers or peers. However, while providing efficient cross server storage verification and data availability insurance, these schemes are all focusing on static or archival data. As a result, their capabilities of handling dynamic data remains unclear,which inevitably limits their full applicability in cloud storage scenarios.

9.2 APPLICATION

Storing the data in cloud is very feasible so it can be stored in anywhere at any time. There is no burden local systems. Storage is secure.

9.3 FUTIRE ENHANCEMENTSIn Future there is no need of third party validation . Instead of TPA cloud service provider will provide security for our data. This is employed to reduce the computational cost.

REFERENCE OR BIBLIOGRAPHY

Title:Dynamic Provable Data PossessionAuthor: C. Chris Erway Alptekin Kupc u Charalampos Papamanthou Roberto Tamassia

Title: HAIL: A High-Availability and Integrity Layer for Cloud StorageAuthor: Kevin D. BowersTitle : Incremental Cryptography: The Case of Hashing and Signing Author: M. Bellare_ O. Goldreichy S. Goldwasserz

Title: A Practical Byzantine Fault Tolerance and Proactive RecoveryAuthor: M. Castro and B. LiskovTitle:Privacy-preserving public auditing for storage security in cloud computingAuthor: C. Wang, Q. Wang, K. Ren, and W. LouTitle: Scalable and Efcient Provable Data PossessionAuthor: Giuseppe Ateniese 1 , Roberto Di Pietro 2 , Luigi V. Mancini 3 , and Gene TsudikTitle : Privacy-Preserving Audit and Extraction of Digital ContentsAuthor : Mehul A. Shah Ram Swaminathan Mary BakerTitle: Store, Forget, and Check: Using Algebraic Signatures to Check Remotely Administered StorageAuthor:Thomas Schwarz, S.J.Ethan L. MillerTitle: A Cooperative Internet Backup Scheme Author:Andrew Birrell Mike Burrows Michael IsardTitle:Auditing to Keep Online Storage Services HonestAuthor:Mehul A. Shah, Mary Baker, Jeffrey C. Mogul, Ram Swaminathan

towards secure and dependaple storage services in cloud computing

Documents