• DocumentCode
    3776236
  • Title

    Efficient risk analysis for Android applications

  • Author

    Jis Joe Mathew;Manoj T. Joy

  • Author_Institution
    Dept. Computer Science and Engineering, Amal Jyothi College of Engineering, Kanjirappally, India
  • fYear
    2015
  • Firstpage
    382
  • Lastpage
    387
  • Abstract
    The increasing growth of Android phones, due to its openness and popularity also calls for the increase in attacks. A very keen and intellectual study proves that Android users can easily be hacked with the existing single time permission approval system. Once approved, an application can access all the resources requested as permissions, at any time according to the code integrated into it. The permissions shown at installation time totally depends on the user´s privacy preference. An application rated riskier by a particular privacy rating software may not be riskier in the eyes of a user who is already decided to install this application. So in order to provide a clear cut idea about how an application will harm him or what are the risks involved in an application compared to the other top rated clean applications in the same category, we propose a security system, which involves a combination of static and dynamic risk analysis of Android applications. The proposed system allows its users to install a riskier application rated by static analyzer, and review it with a help of dynamic analyzer, which monitors application activity handling permissions.
  • Keywords
    "Smart phones","Malware","Security","Privacy","Androids","Humanoid robots","Games"
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computational Systems (RAICS), 2015 IEEE Recent Advances in
  • Type

    conf

  • DOI
    10.1109/RAICS.2015.7488446
  • Filename
    7488446