• DocumentCode
    1789095
  • Title

    Permission-combination-based scheme for Android mobile malware detection

  • Author

    Shuang Liang ; Xiaojiang Du

  • Author_Institution
    Dept. of Comput. & Inf. Sci., Temple Univ., Philadelphia, PA, USA
  • fYear
    2014
  • fDate
    10-14 June 2014
  • Firstpage
    2301
  • Lastpage
    2306
  • Abstract
    With the increase use of Android mobile phones, more Android malwares are being developed. Android malware detection becomes a crucial task. In this paper, we present a permission-combination-based scheme for Android malware detection. The Android malware detection scheme is based on permission combinations declared in the application manifest file. We obtain the permission combinations that are requested frequently by malwares but rarely by benign applications. We generate rule sets based on the permission combinations. Our experimental results show that the malware detection rate is up to 96%, and the benign application recognition rate is up to 88%. Our experimental results with real malwares show that the Android malware detection scheme is very efficient and effective.
  • Keywords
    invasive software; smart phones; Android mobile malware detection; Android mobile phones; permission-combination-based scheme; Androids; Humanoid robots; Internet; Malware; Mobile communication; Mobile computing; Smart phones; Android; malware detection; mobile phone;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2014 IEEE International Conference on
  • Conference_Location
    Sydney, NSW
  • Type

    conf

  • DOI
    10.1109/ICC.2014.6883666
  • Filename
    6883666