• DocumentCode
    2130601
  • Title

    A Classifier of Malicious Android Applications

  • Author

    Canfora, Gerardo ; Mercaldo, Francesco ; Visaggio, Corrado Aaron

  • Author_Institution
    Dept. of Eng., Univ. of Sannio, Benevento, Italy
  • fYear
    2013
  • fDate
    2-6 Sept. 2013
  • Firstpage
    607
  • Lastpage
    614
  • Abstract
    Malware for smart phones is rapidly spreading out. This paper proposes a method for detecting malware based on three metrics, which evaluate: the occurrences of a specific subset of system calls, a weighted sum of a subset of permissions that the application required, and a set of combinations of permissions. The experimentation carried out suggests that these metrics are promising in detecting malware, but further improvements are needed to increase the quality of detection.
  • Keywords
    invasive software; mobile computing; pattern classification; smart phones; classifier; malicious Android applications; malware detection; smart phones; system calls; Classification algorithms; Internet; Malware; Measurement; Privacy; Smart phones; android; malware; security; smartphone; usability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Availability, Reliability and Security (ARES), 2013 Eighth International Conference on
  • Conference_Location
    Regensburg
  • Type

    conf

  • DOI
    10.1109/ARES.2013.80
  • Filename
    6657296