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Article
Publication date: 11 February 2019

Nikolaos Serketzis, Vasilios Katos, Christos Ilioudis, Dimitrios Baltatzis and George J. Pangalos

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…

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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.

Details

Information & Computer Security, vol. 27 no. 2
Type: Research Article
ISSN: 2056-4961

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