Paper Info
Title
Cybercrime Profiling: Decision-Tree Induction, Examining Perceptions of Internet Risk and Cybercrime Victimisation
Abstract
The Internet can be a double-edged sword. While offering a range of benefits, it also provides an opportunity for criminals to extend their work to areas previously unimagined. Every country faces the same challenges regarding the fight against cybercrime and how to effectively promote security for its citizens and organisations. The main aim of this study is to introduce and apply a data-mining technique (decision-tree) to cybercrime profiling. This paper also aims to draw attention to the growing number of cybercrime victims, and the relationship between online behaviour and computer victimisation. This study used secondhand data collected for a study was carried out using Jordan a s a case study to investigate whether or not individuals effectively protect themselves against cybercrime, and to examine how perception of law influences actions towards incidents of cybercrime. In Jordan, cybercafe's have become culturally acceptable alternatives for individuals wishing to access the Internet in private, away from the prying eyes of society.
Year
DOI
Venue
2015
10.1109/Trustcom.2015.534
TrustCom/BigDataSE/ISPA
Keywords
Field
DocType
Digital forensics, Cybercrime profiling, Data mining, Classification tree
Decision tree,Internet privacy,Digital forensics,Computer security,Computer science,Profiling (computer programming),Cybercrime,Perception,Victimisation,The Internet
Conference
Citations 
PageRank 
References 
0
0.34
3
Authors
2
Name
Order
Citations
PageRank
Ameer Al-Nemrat1429.12
Chafika Benzaid25413.06