• DocumentCode
    156723
  • Title

    A Two-Layered Permission-Based Android Malware Detection Scheme

  • Author

    Xing Liu ; Jiqiang Liu

  • Author_Institution
    Sch. of Comput. & Inf. Technol., Beijing Jiaotong Univ., Beijing, China
  • fYear
    2014
  • fDate
    8-11 April 2014
  • Firstpage
    142
  • Lastpage
    148
  • Abstract
    Android platform has become the main target of the malware developers in the past few years. One of Android´s main defense mechanisms against malicious apps is a permission-based access control mechanism. It is a feasible approach to detect a potential malicious application based on the permissions it requested. In this paper, we proposed a two-layered permission based detection scheme for detecting malicious Android applications. Comparing with previous researches, we consider the apps requested permission pairs as the additional condition, and we also consider used permissions to improve detection accuracy. The result of an evaluation, performed using 28548 benign apps and 1536 malicious apps, indicates that a two-layered permission-based detector has high detection rate of malware.
  • Keywords
    Android (operating system); access control; invasive software; smart phones; Android malware detection scheme; malware detection rate; permission-based access control mechanism; two-layered permission based detection scheme; Androids; Decision trees; Feature extraction; Humanoid robots; Malware; Smart phones; Vectors; Android permission; machine learning; malware detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mobile Cloud Computing, Services, and Engineering (MobileCloud), 2014 2nd IEEE International Conference on
  • Conference_Location
    Oxford
  • Type

    conf

  • DOI
    10.1109/MobileCloud.2014.22
  • Filename
    6834956