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Forensic analysis of digital attack tool artifacts

Forensic analysis of digital attack tool artifacts

Bayley, Fletcher and Gan, Diane (2013) Forensic analysis of digital attack tool artifacts. In: Cyberforensics Perspectives : Proceedings of the 3rd International Conference on Cybercrime, Security and Digital Forensics (Cyberforensics 2013). University of Strathclyde Publishing, Strathclyde, Scotland, UK, pp. 73-80. ISBN 9780947649975

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Abstract

This work was to investigate the forensics artifacts left by network attack tools within Linux and UNIX operating systems and to develop an application called HexaFind. The application enables a forensics investigator to collect the digital evidence left behind by the usage, installation or removal of specific attack tools. The main objective was to decrease the complexity of forensic investigations within these operating systems and to increase the detection rate of forensic artifacts relating to criminal or civil evidence of malicious conduct.

Item Type: Conference Proceedings
Title of Proceedings: Cyberforensics Perspectives : Proceedings of the 3rd International Conference on Cybercrime, Security and Digital Forensics (Cyberforensics 2013)
Additional Information: [1] In book of papers presented at the 3rd International Conference on Cybercrime, Security and Digital Forensics, held 10-11 June 2013, at the University of Cardiff, Wales, UK.
Uncontrolled Keywords: Linux, UNIX, Forensics investigation, Digital evidence, Network, Enumeration, Digital artifacts, HexaFind, Big data
Subjects: K Law > K Law (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / Department / Research Group: Faculty of Architecture, Computing & Humanities
Faculty of Architecture, Computing & Humanities > Computer Security, Audit, Forensics & Education (C-SAFE) Centre
Faculty of Architecture, Computing & Humanities > Department of Computing & Information Systems
Related URLs:
Last Modified: 05 May 2017 09:44
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/11708

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