• DocumentCode
    714720
  • Title

    API call and permission based mobile malware detection (in english)

  • Author

    Aysan, Ahmet Ilhan ; Sen, Sevil

  • Author_Institution
    Bilgisayar Muhendisligi Bolumu, Hacettepe Univ., Ankara, Turkey
  • fYear
    2015
  • fDate
    16-19 May 2015
  • Firstpage
    2400
  • Lastpage
    2403
  • Abstract
    Sales of smartphones have substantially increased in recent years. This demand has turned attackers´ attention to mostly Android based smartphones. Attackers develop malwares especially for Android which is open source operating system and they share source code with each other in order to develop malwares. Most of the researchers proposed solutions to detect malwares. However, most of the solutions are appeared that they are needed high computationally power and have low accuracy rate. In this study, we developed API call and permission based static analysis methodology for Android applications.
  • Keywords
    application program interfaces; invasive software; mobile computing; operating systems (computers); public domain software; smart phones; API call; Android based smartphones; open source operating system; permission based mobile malware detection; permission based static analysis methodology; source code sharing; Androids; Google; Humanoid robots; Malware; Mobile communication; Smart phones; API call; Android; machine learning; mobile malware; permission; static analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2015 23th
  • Conference_Location
    Malatya
  • Type

    conf

  • DOI
    10.1109/SIU.2015.7130365
  • Filename
    7130365