Cybercrime Profiling: Decision-Tree Induction, Examining Perceptions of Internet Risk and Cybercrime Victimisation

Book chapter


Al-Nemrat, A. and Benzaid, Chafika 2015. Cybercrime Profiling: Decision-Tree Induction, Examining Perceptions of Internet Risk and Cybercrime Victimisation. in: 2015 IEEE Trustcom/BigDataSE/ISPA IEEE. pp. 1380-1385
AuthorsAl-Nemrat, A. and Benzaid, Chafika
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.

KeywordsClassification tree; Digital forensics; Cybercrime profiling; Data mining
Book title2015 IEEE Trustcom/BigDataSE/ISPA
Page range1380-1385
Year2015
PublisherIEEE
Publication dates
Print03 Dec 2015
Publication process dates
Deposited27 Feb 2017
Event14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom-15)
ISBN978-1-4673-7952-6
978-1-4673-7951-9
Digital Object Identifier (DOI)https://doi.org/10.1109/Trustcom.2015.534
Web address (URL)http://doi.org/10.1109/Trustcom.2015.534
Additional information

© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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CC BY-NC-ND
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