semantic modelling of android malware …android malware - 30.6% of apps are potential harmful apps...
TRANSCRIPT
SEMANTIC MODELLING OF ANDROID MALWARE FOR EFFECTIVE MALWARE COMPREHENSION,
DETECTION AND CLASSIFICATION
Constructed DSA of attacks
DSA & OBA depicts the essential invocation
of APIs in a malicious behavior
Android Malware
- 30.6% of apps are potential harmful apps
- Including privacy leakage, privilege escalation,
and ransomware.
Motivation
- Semantic modeling, identify malware essences
- Combined detection, scalability & precision
- Attack identification, understand attacks
For known Android malware
- Learn DSA & OBA
- Extract feature for training
For Android Apps to test
- Extract feature and do classification
- Generate DFA to do family classification
- Identify OBA to determine attacks
INTRODUCTION CONSTRUCTION OF DSA
EVALUATIONSYSTEM OVERVIEW
Guozhu Meng, Yinxing Xue and Yang Liu. School of Computer Science and Engineering, NTU