Cloud Computing Security From Single

to Multi-Clouds

ByKiran Kumar

ABSTRACT

• Dealing with “single cloud” providers is predicted to become less popular with customers due to risks of service availability failure and the possibility of malicious insiders in the single cloud.

• A movement towards “multi-clouds”, or in other words, “interclouds” or “cloud-of-clouds” has emerged recently.

What is Cloud Computing ?

• Cloud computing is a model for enabling ubiquitous(present), convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. This cloud model is composed of five essential characteristics, three service models, and four deployment models.

Cloud Computing

Deployment Models

Delivery Models

Difference

Finally…….

Moving to Clouds• Data is moving to the cloud

• Main reason: costs (pay-per-use model)

Everything Connected to Cloud

What about Cloud Security?

EXISTING SYSTEM

• Cloud providers should address privacy and security issues as a matter of high and urgent priority. Dealing with “single cloud” providers is becoming less popular with customers due to potential problems such as service availability failure and the possibility that there are malicious insiders in the single cloud.

If It Fails…?

DISADVANTAGES OF EXISTING SYSTEM

• Cloud providers should address privacy and security issues as a matter of high and urgent priority.

• Service availability failure and the possibility that there are malicious insiders in the single cloud.

PROPOSED SYSTEM

• This Project focuses on the issues related to the data security aspect of cloud computing.

• Moving towards “Cloud of clouds “ or multi clouds technique which improves

Better read performanceData corruptions'Reduces Intrusions ….etc

Multi Clouds

ADVANTAGES OF PROPOSED SYSTEM

• Data Integrity• Service Availability.• The user runs custom applications using the

service provider’s resources• Cloud service providers should ensure the

security of their customers’ data and should be responsible if any security risk affects their customers’ service infrastructure.

ARCHITECTURE

DepSKy System Model

The DepSky system model contains three parts: readers, writers, and four cloud storage providers, where readers and writers are the client’s tasks.

Readers can fail arbitrarily (for example, they can fail by crashing, they can fail from time to time and then display any behavior) whereas, writers only fail by crashing.

DepSKy System Model

DepSky Design Principles

1. No trust on individual cloud providersDistributed trust is built by using multiple clouds2. Use storage clouds as they areNo server-side code on the replication protocols3. Data is updatableReplication protocols for consistency

Data Model Implementation

DepSky Write

DepSky Read

DepSky Confidentiality

HARDWARE REQUIREMENTS

• Processor - Pentium –III• Speed - 1.1 GHz• RAM - 256 MB(min)• Hard Disk - 20 GB• Floppy Drive - 1.44 MB• Key Board - Standard Keyboard• Monitor - SVGA

SOFTWARE REQUIREMENTS

• Operating System : Windows XP • Application Server : Tomcat5.0/6.X

• Front End : HTML, Java, JSP• Script : JavaScript.• Server side Script : Java Server Pages.• Database : MYSQL

Implémentations

• Data Integrity• Data Intrusion• Service Availability

Data Integrity

• One of the most important issues related to cloud security risks is data integrity. The data stored in the cloud may suffer from damage during transition operations from or to the cloud storage provider.

Data Intrusion• Another security risk that may occur with a cloud provider, such

as the Amazon cloud service, is a hacked password or data intrusion.

• If someone gains access to an Amazon account password, they will be able to access all of the account’s instances and resources.

• Thus the stolen password allows the hacker to erase all the information inside any virtual machine instance for the stolen user account, modify it, or even disable its services. Furthermore, there is a possibility for the user’s email(Amazon user name) to be hacked, and since Amazon allows a lost password to be reset by email, the hacker may still be able to log in to the account after receiving the new reset password.

Service Availability• Another major concern in cloud services is service

availability.• Amazon mentions in its licensing agreement that it is

possible that the service might be unavailable from time to time.

• The user’s web service may terminate for any reason at any time if any user’s files break the cloud storage policy. In addition, if any damage occurs to any Amazon web service and the service fails, in this case there will be no charge to the Amazon Company for this failure. Companies seeking to protect services from such failure need measures such as backups or use of multiple providers.

code #1 getting User Detailstry { conn = (Connection) DbConnector.getConnection(); sql = "select * from user where userid= '" + userid + "' and

password= '" + password+"'"; pst = (PreparedStatement) conn.prepareStatement(sql); ResultSet rs = pst.executeQuery(); if (rs.next()) { available = true; } else { available = false; } } catch (Exception e) { e.printStackTrace(); }

code #2 for Encryptionpublic static String encryptString(String str,String key) { StringBuffer sb = new StringBuffer(str); int lenStr = str.length(); int lenKey = key.length(); // For each character in our string, encrypt it... for (int i = 0, j = 0; i < lenStr; i++, j++) { if (j >= lenKey) { j = 0; // Wrap 'round to beginning of key string. }// XOR the chars together. Must cast back to char to avoid compile error. sb.setCharAt(i, (char) (str.charAt(i) ^ key.charAt(j))); } return sb.toString(); }

code #3 for FileUploadpublic synchronized boolean uploadFile(InputStream is) { try { BufferedInputStream bis = new BufferedInputStream(is); OutputStream os = m_client.getOutputStream(); BufferedOutputStream bos = new BufferedOutputStream(os); byte[] buffer = new byte[1024]; int readCount; while ((readCount = bis.read(buffer)) > 0) { bos.write(buffer, 0, readCount); } bos.close(); this.succMesg = "Uploaded!"; return true; } catch (Exception ex) { ex.printStackTrace(); return false; } }

code #4 for FileDownloadpublic synchronized boolean downloadFile(String localfilename) { try { InputStream is = m_client.getInputStream(); BufferedInputStream bis = new BufferedInputStream(is); System.out.println(">>>>>>>>>>>"+localfilename); OutputStream os = new FileOutputStream(localfilename); BufferedOutputStream bos = new BufferedOutputStream(os); byte[] buffer = new byte[1024]; int readCount; while ((readCount = bis.read(buffer)) > 0) { bos.write(buffer, 0, readCount); } bos.close(); is.close(); // close the FTP inputstream this.succMesg = "Downloaded!"; return true; } catch (Exception ex) { ex.printStackTrace(); return false; } }

Registration

IDOwnerIDPasswordGenderMobileEMailDate

Loginidgenration()CreateAccount()

File Upload

FileIDFileNameFileSizeFilePathFileOwnerMetaDataKeyRequestDownloadStatusModifyStatusVerifyStatus

metadatagenration()fileupload()

File Download

FileIDFileNameFileSizeFilePathFileOwnerMetaDataKeyRequestVerifyStatus

comparemetadata()fileupload()

Class Diagram

ADMIN

CLOUDCREATION

CLOUDMAINTENANCE

MEMBERCREATION

FILEUPLOAD

FILEDOWNLOAD

CLOUDSTATUS

REPORTS

USER

Use Case Diagram

Sequence DiagramCLOUD

CREATIONCLOUD

MAINTAINANCEMEMBER

CREATIONFILE

UPLOADREPORTS

Clouddetails

Credintials

File Details

File Report

LOGIN

ADMIN USER

CLOUD CREATION

CLOUDMAINTENANCE

MEMBERCREATION

REPORTS

NEW?

UPLOADDATA

CLOUDSTATUS

REPORTS

Data Flow Diagram

Activity Diagram

CONCLUSION

• It is clear that although the use of cloud computing has rapidly increased, cloud computing security is still considered the major issue in the cloud computing environment. Customers do not want to lose their private information as a result of malicious insiders in the cloud. In addition, the loss of service availability has caused many problems for a large number of customers recently

CONCLUSION (cont…)

• Furthermore, data intrusion leads to many problems for the users of cloud computing.

• We support the migration to multi-clouds due to its ability to decrease security risks that affect the cloud computing user.

FUTURE ENHANCEMENTS

• For future work, we aim to provide a framework to supply a secure cloud database that will guarantee to prevent security risks facing the cloud computing community.

• This framework will apply multi-clouds and the secret sharing algorithm to reduce the risk of data intrusion and the loss of service availability in the cloud and ensure data integrity.

FUTURE ENHANCEMENTS (cont…)

• In relation to data intrusion and data integrity, assume we want to distribute the data into three different cloud providers, and we apply the secret sharing algorithm on the stored data in the cloud provider.

• An intruder needs to retrieve at least three values to be able to find out the real value that we want to hide from the intruder.

REFERENCES• [1] (NIST), http://www.nist.gov/itl/cloud/. • [2] I. Abraham, G. Chockler, I. Keidar and D. Malkhi, "Byzantine disk paxos: optimal

resilience with Byzantine shared memory", Distributed Computing, 18(5), 2006, pp. 387-408.

• [3] H. Abu-Libdeh, L. Princehouse and H. Weatherspoon, "RACS: a case for cloud storage

diversity", SoCC'10:Proc. 1st ACM symposium on Cloud computing, 2010, pp. 229-240. • [4] D. Agrawal, A. El Abbadi, F. Emekci and A. Metwally, "Database Management as a

Service: Challenges and Opportunities", ICDE'09:Proc.25thIntl. Conf. on Data Engineering, 2009, pp. 1709-1716.

• [5] M.A. AlZain and E. Pardede, "Using Multi Shares for Ensuring Privacy in Database-as-a-

Service", 44th Hawaii Intl. Conf. on System Sciences (HICSS), 2011, pp. 1-9.

Thankyou

By Kiran Kumar