Chinese Journal of Network and Information Security ›› 2018, Vol. 4 ›› Issue (1): 63-68.doi: 10.11959/j.issn.2096-109x.2018001

• Papers • Previous Articles     Next Articles

Anti-obfuscation Android application similarity detection method based on API call

Jieming GU1,2(),Bowen SUN1,2,Peng WU3,Qi LI1,2,Yanhui GUO1,2   

  1. 1 School of Cyberspace Security,Beijing University of Post and Telecommunications, Beijing 100876, China
    2 Beijing Key Laboratory of integration with the world Internet, Beijing 100876, China
    3 School of Computer Science, Sichuan University, Chengdu 610015, China
  • Revised:2017-12-05 Online:2018-01-01 Published:2018-02-09
  • Supported by:
    The National Natural Science Foundation of China(61401038)

Abstract:

The traditional Android application similarity detection methods have the problem of complex feature extraction and low detecting efficiency.Regarding the issue above,an anti-obfuscation Android application similarity detection method based on API call was proposed.Firstly,it extracts referenced API sequence from the dex file.Counting the number of referenced API after decompiling the application to build feature vector.Finally,calculate the application similarity through feature vector.The experimental results show that the method has high accuracy.

Key words: application similarity, Android, reverse engineering, anti-obfuscation

CLC Number: 

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