A Blockchain-Enabled Incentivised Framework for Cyber Threat Intelligence Sharing in ICS
Kathy Nguyen, Shantanu Pal, Zahra Jadidi, Ali Dorri, Raja Jurdak

TL;DR
This paper introduces a blockchain-based framework that enables secure, private, and incentivized sharing of cyber threat intelligence among ICS stakeholders, addressing privacy, trust, and participation challenges.
Contribution
It presents a novel blockchain-enabled framework for ICS CTI sharing that enhances security, privacy, and incentivization, overcoming limitations of centralized platforms.
Findings
Framework demonstrates feasibility in real-world scenarios
Enhances privacy and trust in CTI sharing
Provides an efficient, secure sharing network for ICS
Abstract
In recent years Industrial Control Systems (ICS) have been targeted increasingly by sophisticated cyberattacks. Improving ICS security has drawn significant attention in the literature that emphasises the importance of Cyber Threat Intelligence (CTI) sharing in accelerating detection, mitigation, and prevention of cyberattacks. However, organisations are reluctant to exchange CTI due to fear of exposure, reputational damage, and lack of incentives. Furthermore, there has been limited discussion about the factors influencing participation in sharing CTI about ICS. The existing CTI-sharing platforms rely on centralised trusted architectures that suffer from a single point of failure and risk companies' privacy as the central node maintains CTI details. In this paper, we address the needs of organisations involved in the management and protection of ICS and present a novel framework that…
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Taxonomy
TopicsAdvanced Malware Detection Techniques · Blockchain Technology Applications and Security · Information and Cyber Security
