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A Socio-Technical Perspective on Threat Intelligence Informed Digital Forensic Readiness
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Author(s): Nikolaos Serketzis (Aristotle University of Thessaloniki, Thessaloniki, Greece), Vasilios Katos (Bournemouth University, Poole, UK), Christos Ilioudis (Alexander Technological Educational Institute of Thessaloniki, Thessaloniki, Greece), Dimitrios Baltatzis (International Hellenic University, Thessaloniki, Greece)and George J. Pangalos (Aristotle University of Thessaloniki, Thessaloniki, Greece)
Copyright: 2017
Volume: 4
Issue: 2
Pages: 12
Source title:
International Journal of Systems and Society (IJSS)
Editor(s)-in-Chief: Alfonso Reyes Alvarado (Universidad de los Andes, Colombia)
DOI: 10.4018/IJSS.2017070105
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Abstract
In this article, a DFR framework is proposed focusing on the prioritization, triaging and selection of Indicators of Compromise (IoC) to be used when investigating of security incidents. A core component of the framework is the contextualization of the IoCs to the underlying organization, which can be achieved with the use of clustering and classification algorithms and a local IoC database.
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