Chinese Journal of Network and Information Security ›› 2017, Vol. 3 ›› Issue (3): 51-57.doi: 10.11959/j.issn.2096-109x.2017.00159

• academic paper • Previous Articles     Next Articles

Research on Android malware detection based on permission and behavior

Xiao-min ZHANG1,Jing LUI1,2,3,Jun-xi ZHUANG1,2,3,Ying-xu LAI1,2,3   

  1. 1 Faculty of Information Technology,Beijing University of Technology,Beijing 100124,China
    2 Beijing Key Laboratory of Trusted Computing,Beijing University of Technology,Beijing 100124,China
    3 National Engineering Laboratory for Critical Technologies of Information Security Classified Protection,Beijing University of Technology,Beijing 100124,China
  • Revised:2017-03-02 Online:2017-03-01 Published:2017-03-25
  • Supported by:
    The Natural Science Foundation of Beijing(4162006)


For the Android platform malicious application,a method of mapping behavior to privilege characteristics by combining static privilege feature analysis and dynamic behavior analysis was proposed,and association analysis algorithm was used to dig out the association rules between privilege features.Feature as a naive Bayesian classification algorithm input,a malicious application detection model was established.Finally,the experiment verify the effectiveness and accuracy of the method.

Key words: Android system, security mechanism, permissions feature, classifier

CLC Number: 

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