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
Link To Document :
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