• DocumentCode
    715726
  • Title

    Managing your privacy in mobile applications with MockingBird

  • Author

    Ferrari, Alan ; Puccinelli, Daniele ; Giordano, Silvia

  • Author_Institution
    Networking Lab., Univ. of Appl. Sci. of Southern Switzerland (SUPSI), Manno, Switzerland
  • fYear
    2015
  • fDate
    23-27 March 2015
  • Firstpage
    288
  • Lastpage
    291
  • Abstract
    Mocking is a standard technique in software testing; its main goal is to mimic the real object behavior in a controllable way. Recently, mocking techniques have been used in mobile environments to increase the user privacy and their goal is to allow users to select the kind of information they want to pass to the application (if real or randomly generated). This work presents MockingBird, a novel solution to mocking that uses recorded context-traces instead of randomly generated data, which is easily detected by applications. We also propose a flexible methodology to mock an Android application that does not require any changes at the operating system level and at the virtual machine level. MockingBird is a very promising solution; we are currently testing its performance and increasing its functionality.
  • Keywords
    data privacy; mobile computing; program testing; virtual machines; Android application; MockingBird; context-traces; mobile applications; privacy management; software testing; virtual machine level; Androids; Conferences; Context; Humanoid robots; Pervasive computing; Privacy; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing and Communication Workshops (PerCom Workshops), 2015 IEEE International Conference on
  • Conference_Location
    St. Louis, MO
  • Type

    conf

  • DOI
    10.1109/PERCOMW.2015.7134049
  • Filename
    7134049