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Profiling cyber attackers using case-based reasoning

Profiling cyber attackers using case-based reasoning

Kapetanakis, Stelios, Filippoupolitis, Avgoustinos, Loukas, George ORCID: 0000-0003-3559-5182 and Al Murayziq, Tariq Saad (2014) Profiling cyber attackers using case-based reasoning. In: 19th UK Workshop on Case-Based Reasoning (UKCBR 2014), 9 December 2014, Peterhouse College, Cambridge, UK.

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Computer security would arguably benefit from more information on the characteristics of the particular human attacker behind a security incident. Nevertheless, technical security mechanisms have always focused on the at- tack's characteristics rather than the attacker's. The latter is a challenging prob- lem, as relevant data cannot easily be found. We argue that the cyber traces left by a human attacker during an intrusion attempt can help towards building a profile of the particular person. To illustrate this concept, we have developed an approach using case-based reasoning that indirectly measures an attacker’s characteristics for given attack scenarios. Our results reveal that case-based rea- soning has the potential of being used to assist security and forensic investiga- tors in profiling human attackers.

Item Type: Conference or Conference Paper (Paper)
Additional Information: part of AI-2014 Thirty-fourth SGAI International Conference on Artificial Intelligence, Cambridge, UK 9-11 December 2014
Uncontrolled Keywords: Cyber security, hacker profiling, case based reasoning
Faculty / School / Research Centre / Research Group: Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Faculty of Engineering & Science
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Last Modified: 04 Mar 2022 13:07

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