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Mr Dany Joy

Research Student

Brief biographical information

An Intelligent Network Forensic Analyzer

Digital forensics has become an essential tool in the fight against cybercrime. Whilst much research effort has been expended upon computer forensics, little effort to date has focused upon the contribution that can be made from network forensics. As the majority of attacks are facilitated through networks, it is a highly valuable source of evidence. The problem of network forensics is one of data management. Enormous volumes of data that make it difficult to identify and trace forensic artefacts. Current tools lack the intelligence to sort data and present network traffic in an almost raw state. In recent years however, a significant body of research has successfully demonstrated the application of artificial intelligence to various information security problems (e.g. providing more effective discirmaintion of features within biometric systems and anamoly detection mechanisms within Intrusion Detection Systems.

Mr Dany Joy

Director of studies: Prof. Nathan L Clarke
Other supervisors: Prof. Steven M Furnell, Dr Fudong Li

Conference papers

Forensic Investigation of Network Traffic: A Study into the Derivation of Application-Level features from Network-Level Metadata
Li F, Clarke NL, Alotibi G, Joy D
6th Annual International Conference on ICT: Big data, Could and Security (ICT-BDCS 2015), 27-28 July, ISSN: 2382-5669, pp68-73, 2015
More details | External link available

A User-oriented Network Forensic Analyser: The Design of a High-Level Protocol Analyser
Joy D, Li F, Clarke NL, Furnell SM
Proceedings of the 12th Australian Digital Forensics Conference, 1-3 December, ECU Joondalup Campus, Perth, Western Australia, pp 84-93, ISBN 978-0-7298-0719-7, 2014
More details

2 Conference papers

2 publication(s) - all categories.