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Forensic identification of students outsourcing assignment projects from freelancer.com

Monnik,M and Pan,L 2014, Forensic identification of students outsourcing assignment projects from freelancer.com. In Batten,L, Li,G, Niu,W and Warren,M (ed), Applications and techniques in information security : international conference, ATIS 2014, Melbourne, Australia, November 26-28, 2014, proceedings, Springer, Berlin, Germany, pp.183-190, doi: 10.1007/978-3-662-45670-5.

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Title Forensic identification of students outsourcing assignment projects from freelancer.com
Author(s) Monnik,M
Pan,LORCID iD for Pan,L orcid.org/0000-0002-4691-8330
Title of book Applications and techniques in information security : international conference, ATIS 2014, Melbourne, Australia, November 26-28, 2014, proceedings
Editor(s) Batten,L
Li,G
Niu,W
Warren,M
Publication date 2014
Series Communications in Computer and Information Science; v.490
Chapter number 17
Total chapters 24
Start page 183
End page 190
Total pages 8
Publisher Springer
Place of Publication Berlin, Germany
Summary This paper reports the increasing popularity of outsourcing academic works by university students motivated by the lure of lucrative dividends and visa opportunities. Due to a lack of formal methods in detecting such transactions, freelance websites are thriving in facilitating the trade of outsourced assignments. This is compounded by the fact that many university staff have neither the time nor training to perform complex media analysis and forensic investigations. This paper proposes a method to aid in the identification of those who outsource assignment works on the most popular site freelancer.com. We include a recent real-world case study to demonstrate the relevancy and applicability of our methodology. In this case study, a suspect attempts to evade detection via use of anti-forensics which demonstrates the capability and awareness of evasion techniques used by students.
ISBN 9783662456705
3662456699
ISSN 1865-0929
Language eng
DOI 10.1007/978-3-662-45670-5
Field of Research 080109 Pattern Recognition and Data Mining
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category B1 Book chapter
ERA Research output type B Book chapter
Copyright notice ©2014, Springer
Persistent URL http://hdl.handle.net/10536/DRO/DU:30072196

Document type: Book Chapter
Collection: School of Information Technology
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