• DocumentCode
    3770457
  • Title

    Web access patterns reveal insiders behavior

  • Author

    Anagi Gamachchi;Serdar Bozta?

  • Author_Institution
    School of Mathematical and Geospatial Sciences, RMIT University, Melbourne, Australia
  • fYear
    2015
  • Firstpage
    70
  • Lastpage
    74
  • Abstract
    Insider threat is one of the most serious information security threats which is growing at an alarming rate leading to a compromise of confidentiality, integrity and availability of information assets in all critical infrastructure sector organizations. This study proposes a hybrid user profile model which is based on technical access patterns, behavioral patterns, psychological factors and organizational position for this complex and unique problem. In this study we have investigated common characteristics among enterprise users based on their web access pattern which is a part of the behavioral analysis of our model. The results of this analysis reveal majority of users have common web access patterns compared to the minority user base who shows individual user behavior.
  • Keywords
    "Security","Psychology","Clustering algorithms","Social network services","Algorithm design and analysis","Electronic mail","Measurement"
  • Publisher
    ieee
  • Conference_Titel
    Signal Design and its Applications in Communications (IWSDA), 2015 Seventh International Workshop on
  • Electronic_ISBN
    2150-3699
  • Type

    conf

  • DOI
    10.1109/IWSDA.2015.7458417
  • Filename
    7458417