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Actionable threat intelligence for digital forensics readiness

Nikolaos Serketzis (School of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece)
Vasilios Katos (Department of Computing, Bournemouth University, Poole, UK)
Christos Ilioudis (Department of Information Technology, Technological Educational Institute of Thessaloniki, Thessaloniki, Greece)
Dimitrios Baltatzis (International Hellenic University, Thermi, Greece)
George J. Pangalos (School of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece)

Information and Computer Security

ISSN: 2056-4961

Article publication date: 11 February 2019

Issue publication date: 28 May 2019

943

Abstract

Purpose

The purpose of this paper is to formulate a novel model for enhancing the effectiveness of existing digital forensic readiness (DFR) schemes by leveraging the capabilities of cyber threat information sharing.

Design/methodology/approach

This paper uses a quantitative methodology to identify the most popular cyber threat intelligence (CTI) elements and introduces a lightweight approach to correlate those with potential forensic value, resulting in the quick and accurate triaging and identification of patterns of malicious activities.

Findings

While threat intelligence exchange steadily becomes a common practice for the prevention or detection of security incidents, the proposed approach highlights its usefulness for the digital forensics (DF) domain.

Originality/value

The proposed model can help organizations to improve their DFR posture, and thus minimize the time and cost of cybercrime incidents.

Keywords

Citation

Serketzis, N., Katos, V., Ilioudis, C., Baltatzis, D. and Pangalos, G.J. (2019), "Actionable threat intelligence for digital forensics readiness", Information and Computer Security, Vol. 27 No. 2, pp. 273-291. https://doi.org/10.1108/ICS-09-2018-0110

Publisher

:

Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited

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