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. Attached Files Name Description MIMEType Size Downloads Title Forensic identification of students outsourcing assignment projects from freelancer.com Author(s) Monnik,M 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 Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 13 Apr 2015, 13:55:01 EST Mon, 13 Apr 2015, 13:55:36 EST Mon, 13 Apr 2015, 13:56:27 EST Thu, 16 Apr 2015, 15:25:05 EST Thu, 16 Apr 2015, 16:26:48 EST Thu, 16 Apr 2015, 16:37:43 EST Wed, 22 Apr 2015, 06:14:04 EST Wed, 29 Apr 2015, 16:48:30 EST Tue, 19 May 2015, 11:54:28 EST Wed, 14 Oct 2015, 14:21:39 EST Thu, 22 Feb 2018, 08:38:05 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 1 times in Scopus Search Google Scholar Access Statistics: 483 Abstract Views, 6 File Downloads  -  Detailed Statistics Created: Thu, 16 Apr 2015, 15:25:05 EST

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