• Title of article

    Mobile Learning Applications Audit

  • Author/Authors

    Paul POCATILU، نويسنده , , Adrian POCOVNICU، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2010
  • Pages
    8
  • From page
    137
  • To page
    144
  • Abstract
    While mobile learning (m-learning) applications have proven their value in educational activ-ities, there is a need to measure their reliability, accessibility and further more their trustwor-thiness. Mobile devices are far more vulnerable then classic computers and present inconve-nient interfaces due to their size, hardware limitations and their mobile connectivity. Mobile learning applications should be audited to determine if they should be trusted or not, while multimedia contents like automatic speech recognition (ASR) can improve their accessibility. This article will start with a brief introduction on m-learning applications, then it will present the audit process for m-learning applications, it will iterate their specific security threats, it will define the ASR process, and it will elaborate how ASR can enhance accessibility of these types of applications
  • Keywords
    IT Audit , Software testing , penetration testing , Mobile applications , Multimedia , Automatic speech recognition
  • Journal title
    Informatica Economica Journal
  • Serial Year
    2010
  • Journal title
    Informatica Economica Journal
  • Record number

    668672