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Dr Mahmood Al Fahdi PhD

Research Student

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Automated Digital Forensics & Cybercrime Profiling

With the prolific use of the Internet and the wide variety of electronic devices used around the globe, the number of cybercrimes is significantly increasing (Snow, 2010). According to the Internet Crime Complaint Center (IC3), the Internet Crime Report of 2010 shows that a total of 303,809 complaints were received (IC3, 2011). Whilst forensic software such as EnCase and FTK are the key enablers for investigations, they require large volumes of investigators time. The cost of performing computer forensics is limiting its capacity to achieve successful results in an environment where increasing numbers of investigations are required. Furthermore, as technology is evolving rapidly, with the types and sizes of media and technologies to be examined increasing, additional layers of complexity exist that are significantly challenging (Digital Britain, 2009). To exacerbate the issue, whilst differing national legislative frameworks often inhibit what investigators are permitted to do; forensic tools provide no facility for ensuring investigators do not overstep their mandate.

A requirement therefore exists to develop mechanisms that are able to reduce the investigative time and focus the efforts of expensive forensics examiners on media (and areas of media) that have most interest (from an evidentiary perspective). This project seeks to develop an automated means of examining and extracting relevant evidence based upon the suspected criminal activity. The MPhil phase of the research will focus upon the identification and development of cybercrime/criminal profiles that can map forensic artefacts to specific crimes. Each criminal activity can be related to particular types of evidence/artefact – for example, fraudulent activities are likely to relate to excel spreadsheets of financial information.

Dr Mahmood Al Fahdi

Director of studies: Prof. Nathan L Clarke
Other supervisors: Prof. Steven M Furnell

Journal papers

A suspect-oriented intelligent and automated computer forensic analysis
Al Fahdi M, Clarke NL, Li F, Furnell SM
Digital Investigation, Volume 18, pp. 65-76, 2016
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1 Journal papers

Conference papers

Towards an Automated Forensic Examiner (AFE) Based upon Criminal Profiling & Artificial Intelligence
Al Fahdi M, Clarke NL, Furnell SM
Proceedings of the 11th Australian Digital Forensics Conference, Perth, Australia, 2-4 December, pp 1-9, ISBN 978-0-7298-0711-1, 2013
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Challenges to Digital Forensics: A Survey of Researchers & Practitioners Attitudes and Opinions
Al Fahdi M, Clarke NL, Furnell SM
Proceedings of ISSA (Information Security South Africa), Johannesburg, 14-16 August, ISBN:978-1-4799-0809-7, 2013
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2 Conference papers

3 publication(s) - all categories.