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Actionable Threat Intelligence for Digital Forensics Readiness.

Serketzis, N., Katos, V., Ilioudis, C., Baltatzis, D. and Pangalos, G., 2019. Actionable Threat Intelligence for Digital Forensics Readiness. Information and Computer Security, 27 (2), 273-291.

Full text available as:

2018_IACS.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.


DOI: 10.1108/ICS-09-2018-0110


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 benefits of cyber threat information sharing. This paper employs a quantitative methodology to identify the most popular Threat Intelligence elements and introduces a formalized procedure to correlate these elements with potential digital evidence resulting in the quick and accurate identification of patterns of malware activities. 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 domain. The proposed model can help organizations to improve their digital forensic readiness posture and thus minimize the time and cost of cybercrime incidents

Item Type:Article
Uncontrolled Keywords:Information security, Cybersecurity, Cyber threat intelligence, Digital forensic readiness, Digital forensics, Indicators of compromise
Group:Faculty of Science & Technology
ID Code:31484
Deposited By: Symplectic RT2
Deposited On:22 Nov 2018 14:54
Last Modified:14 Mar 2022 14:13


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