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.

Accepted author manuscript
License
CC BY-NC-ND
Permalink -

https://repository.uel.ac.uk/item/853qv

Download files

  • 239
    total views
  • 605
    total downloads
  • 5
    views this month
  • 15
    downloads this month

Export as

Related outputs

The Impact of CISO Appointment Announcements on the Market Value of Firms
Ford, A., Al-Nemrat, A., Ghorashi, S. and Davidson, J. 2022. The Impact of CISO Appointment Announcements on the Market Value of Firms. 17th International Conference on Cyber Warfare and Security (ICCWS 2022). Albany, New York, USA 17 - 18 Mar 2022 Academic Conferences International (ACI).
The Impact of Data Breach Announcements on Company Value in European Markets
Ford, A., Al-Nemrat, A., Ghorashi, S. and Davidson, J. 2021. The Impact of Data Breach Announcements on Company Value in European Markets. WEIS 2021: The 20th Annual Workshop on the Economics of Information Security. 28 - 29 Jun 2021
The Impact of GDPR Infringement Fines on the Market Value of Firms
Ford, A., Al-Nemrat, A., Ghorashi, S. and Davidson, J. 2021. The Impact of GDPR Infringement Fines on the Market Value of Firms. ECCWS 2021- Proceeding of the 20th European Conference on Cyber Warfare and Security. 24 - 25 Jun 2021 Academic Conferences International (ACI). https://doi.org/10.34190/EWS.21.088
Variance Ranking for Multi-Classed Imbalanced Datasets: A Case Study of One-Versus-All
Ebenuwa, S., Sharif, S., Al-Nemrat, A., Al-Bayatti, A. H., Alalwan, N., Alzahrani, A. I. and Alfarraj, O. 2019. Variance Ranking for Multi-Classed Imbalanced Datasets: A Case Study of One-Versus-All. Symmetry. 11 (Art. 1504). https://doi.org/10.3390/sym11121504
A Dynamic Access Control Model Using Authorising Workflow and Task-Role-Based Access Control
Uddin, M., Islam, S. and Al-Nemrat, A. 2019. A Dynamic Access Control Model Using Authorising Workflow and Task-Role-Based Access Control. IEEE Access. 7 (Art. 166676). https://doi.org/10.1109/ACCESS.2019.2947377
Variance Ranking Attributes Selection Techniques for Binary Classification Problem in Imbalance Data
Ebenuwa, S., Sharif, M., Alazab, Mamoun and Al-Nemrat, A. 2019. Variance Ranking Attributes Selection Techniques for Binary Classification Problem in Imbalance Data. IEEE Access. 7, pp. 24649-24666. https://doi.org/10.1109/ACCESS.2019.2899578
Deep Learning Approach for Intelligent Intrusion Detection System
Vinayakumar, R., Alazab, Mamoun, Soman, K. P., Poornachandran, Prabaharan, Al-Nemrat, A. and Venkatraman, Sitalakshmi 2019. Deep Learning Approach for Intelligent Intrusion Detection System. IEEE Access. 7, pp. 41525-41550. https://doi.org/10.1109/ACCESS.2019.2895334
Content Discovery Advertisements: An Explorative Analysis
Jadhav Balaji, R., Baravalle, Andres, Al-Nemrat, A. and Falcarin, P. 2017. Content Discovery Advertisements: An Explorative Analysis. in: Jahankhani, Hamid, Carlile, Alex, Emmett, David, Hosseinian-Far, Amin, Brown, Guy, Sexton, Graham and Jamal, Arshad (ed.) Global Security, Safety and Sustainability - The Security Challenges of the Connected World Springer Verlag.
Integration operators for generating RDF/OWL-based user defined mediator views in a grid environment
Tawil, Abdel-Rahman H., Taweel, Adel, Naeem, U., Montebello, Matthew, Bashroush, R. and Al-Nemrat, A. 2014. Integration operators for generating RDF/OWL-based user defined mediator views in a grid environment. Journal of Intelligent Information Systems. 43 (1), pp. 1-32. https://doi.org/10.1007/s10844-013-0300-5
Security countermeasures in the cyber-world
Bendovschi, Andreea and Al-Nemrat, A. 2016. Security countermeasures in the cyber-world. in: 2016 IEEE International Conference on Cybercrime and Computer Forensic (ICCCF) IEEE. pp. 1-7
Measuring sustainability for an effective Information System audit from public organization perspective
Lope Abdul Rahman, Alifah Aida, Islam, S. and Al-Nemrat, A. 2015. Measuring sustainability for an effective Information System audit from public organization perspective. in: Research Challenges in Information Science (RCIS), 2015 IEEE 9th International Conference on IEEE. pp. 42-51
ARP cache poisoning mitigation and forensics investigation
Mangut, Heman Awang, Al-Nemrat, A., Benzaid, Chafika and Tawil, Abdel-Rahman H. 2015. ARP cache poisoning mitigation and forensics investigation. in: 2015 IEEE Trustcom/BigDataSE/ISPA IEEE. pp. 1392-1397
Intelligent Detection of MAC Spoofing Attack in 802.11 Network
Benzaid, Chafika, Boulgheraif, Abderrahman, Dahmane, Fatma Zohra, Al-Nemrat, A. and Zeraoulia, Khaled 2016. Intelligent Detection of MAC Spoofing Attack in 802.11 Network. in: Proceedings of the 17th International Conference on Distributed Computing and Networking Association for Computing Machinery (ACM).
Forensic Malware Analysis: The Value of Fuzzy Hashing Algorithms in Identifying Similarities
Sarantinos, Nikolaos, Benzaid, Chafika, Arabiat, Omar and Al-Nemrat, A. 2017. Forensic Malware Analysis: The Value of Fuzzy Hashing Algorithms in Identifying Similarities. in: 2016 IEEE Trustcom/BigDataSE/ISPA IEEE. pp. 1782-1787
A Scalable Malware Classification based on Integrated Static and Dynamic Features
Bounouh, Tewfik, Brahimi, Zakaria, Al-Nemrat, A. and Benzaid, Chafika 2017. A Scalable Malware Classification based on Integrated Static and Dynamic Features. 11th International Conference on Global Security, Safety, and Sustainability (ICGS3) 2017. London, UK 18 - 20 Jan 2017 Springer International Publishing. https://doi.org/10.1007/978-3-319-51064-4_10
Fast authentication in wireless sensor networks
Benzaid, Chafika, Lounis, Karim, Al-Nemrat, A., Badache, Nadjib and Alazab, Mamoun 2014. Fast authentication in wireless sensor networks. Future Generation Computer Systems. 55, pp. 362-375.
An Analysis of Honeypot Programs and the Attack Data Collected
Moore, C. and Al-Nemrat, A. 2015. An Analysis of Honeypot Programs and the Attack Data Collected. in: Jahankhani, Hamid, Carlile, Alex, Akhgar, Babak, Taal, Amie, Hessami, Ali G. and Hosseinian-Far, Amin (ed.) Global Security, Safety and Sustainability: Tomorrow's Challenges of Cyber Security Springer International Publishing.
Statistical Sampling Approach to Investigate Child Pornography Cases
Sarantinos, N., Al-Nemrat, A. and Naeem, U. 2013. Statistical Sampling Approach to Investigate Child Pornography Cases. 2013 Fourth Cybercrime and Trustworthy Computing Workshop (CTC). Sydney NSW, Australia 21 - 22 Nov 2013 IEEE. https://doi.org/10.1109/CTC.2013.14