• DocumentCode
    1809682
  • Title

    Explaining Cybercrime through the Lens of Differential Association Theory, Hadidi44-2.php PayPal Case Study

  • Author

    Levin, R. ; Richardson, J. ; Warner, Gary ; Kerley, K.

  • Author_Institution
    Coll. of New Jersey, Ewing, NJ, USA
  • fYear
    2012
  • fDate
    23-24 Oct. 2012
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Social learning theories, such as differential association theory, state that criminals develop deviant behaviors and learn the tools of their trade through close association with other deviants. This case study examines a group of 99 email addresses found to be using the same PayPal phishing kit. It uses Open Source Intelligence techniques to determine potential relationships between the holders of these email addresses. The results are then discussed in light of differential association theory to determine the extent to which this theory may aid in the understanding of cybercrime.
  • Keywords
    Web sites; behavioural sciences; computer crime; public domain software; unsolicited e-mail; Hadidi44-2.php PayPal phishing kit; criminal deviant behaviors; cybercrime; differential association theory; e-mail addresses; open source intelligence techniques; social learning theories; Cybercrime; Differential Association Theory; PayPal; Phishing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    eCrime Researchers Summit (eCrime), 2012
  • Conference_Location
    Las Croabas
  • ISSN
    2159-1237
  • Print_ISBN
    978-1-4673-2544-8
  • Type

    conf

  • DOI
    10.1109/eCrime.2012.6489518
  • Filename
    6489518