Journal on Communications ›› 2014, Vol. 35 ›› Issue (8): 78-85.doi: 10.3969/j.issn.1000-436x.2014.08.011

• Academic paper • Previous Articles     Next Articles

Malware detection technology analysis and applied research of android platform

Wei-ping WEN,Rui MEI,Ge NING,Liang-liang WANG   

  1. Department of Information Security, School of Software and Microelectronics, Peking University, Beijing 102600, China
  • Online:2014-08-25 Published:2017-06-29
  • Supported by:
    The National Natural Science Foundation of China

Abstract:

For the Android platform security problem, a mobile client and server collaborative malware detection pro-posal was proposed, where mobile client application was mainly based on permission detection technology and imple-mented lightweight testing. The server-side detection system is mainly responsible for testing suspicious samples submit-ted by the mobile terminals, meanwhile implements the functions of software behavior analysis, signature library updates, and mobile client synchronization, etc. The server-side detection techniques include permission-based detection technol-ogy, bytecode-based static detection technology and root-based dynamic detection technology. The result of the experi-ment shows that the three detection techniques can achieve better detection results.

Key words: malcode detection, static analysis, dynamic analysis, permission analysis

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