• Title/Summary/Keyword: DEX 메소드 유사도

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Mepelyzer : Malicious App Identification Mechanism based on Method & Permission Similarity Analysis of Server-Side Polymorphic Mobile Apps (Mepelyzer : 서버 기반 다형상 모바일 앱에 대한 메소드 및 퍼미션 유사도 기반 악성앱 판별)

  • Lee, Han Seong;Lee, Hyung-Woo
    • Journal of the Korea Convergence Society
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    • v.8 no.3
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    • pp.49-61
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    • 2017
  • Recently, convenience and usability are increasing with the development and deployment of various mobile applications on the Android platform. However, important information stored in the smartphone is leaked to the outside without knowing the user since the malicious mobile application is continuously increasing. A variety of mobile vaccines have been developed for the Android platform to detect malicious apps. Recently discovered server-based polymorphic(SSP) malicious mobile apps include obfuscation techniques. Therefore, it is not easy to detect existing mobile vaccines because some other form of malicious app is newly created by using SSP mechanism. In this paper, we analyze the correlation between the similarity of the method in the DEX file constituting the core malicious code and the permission similarity measure through APK de-compiling process for the SSP malicious app. According to the analysis results of DEX method similarity and permission similarity, we could extract the characteristics of SSP malicious apps and found the difference that can be distinguished from the normal app.