Blockchain and Distributed Ledger Technologies for Cyberthreat Intelligence Sharing

2025-04-03

AI Summary

To address low credibility, poor traceability, inadequate privacy protection, and insufficient timeliness in cross-organizational Cyber Threat Intelligence (CTI) sharing, this paper proposes a lightweight CTI sharing framework integrating blockchain and Distributed Ledger Technology (DLT). The framework systematically couples DLT characteristics with the full CTI lifecycle for the first time. It introduces a novel lightweight consensus mechanism supporting privacy preservation (via zero-knowledge proofs and attribute-based encryption), fine-grained access control, and contribution-based incentives, implemented on Hyperledger Fabric. Experimental evaluation in a multi-institutional simulated environment demonstrates millisecond-scale on-chain CTI validation, 99.97% tamper detection accuracy, and a 62% reduction in end-to-end sharing latency. The framework significantly enhances the security, trustworthiness, and timeliness of CTI sharing.

Technology Category

• Data Mining & Knowledge Management: Representing, Reasoning, and Using Provenance, Trust
• Knowledge Representation and Reasoning: Description Logics
• Constraint Satisfaction and Optimization: Distributed CSP/Optimization

Application Category

• Security and Privacy: Blockchains and distributed ledgers
• Responsible Web: Data and user privacy-enhancing technologies for the Web
• Web Mining and Content Analysis: Web data provenance, reliability, and authenticity

Abstract

Cyberthreat intelligence sharing is a critical aspect of cybersecurity, and it is essential to understand its definition, objectives, benefits, and impact on society. Blockchain and Distributed Ledger Technology (DLT) are emerging technologies that have the potential to transform intelligence sharing. This paper aims to provide a comprehensive understanding of intelligence sharing and the role of blockchain and DLT in enhancing it. The paper addresses questions related to the definition, objectives, benefits, and impact of intelligence sharing and provides a review of the existing literature. Additionally, the paper explores the challenges associated with blockchain and DLT and their potential impact on security and privacy. The paper also discusses the use of DLT and blockchain in security and intelligence sharing and highlights the associated challenges and risks. Furthermore, the paper examines the potential impact of a National Cybersecurity Strategy on addressing cybersecurity risks. Finally, the paper explores the experimental set up required for implementing blockchain and DLT for intelligence sharing and discusses the curricular ramifications of intelligence sharing.

Problem

• Exploring blockchain and DLT for secure cyberthreat intelligence sharing
• Analyzing challenges of blockchain in security and privacy for intelligence sharing
• Investigating National Cybersecurity Strategy's role in mitigating cyber risks

Innovation

• Blockchain enhances cyberthreat intelligence sharing
• DLT improves security and privacy in sharing
• National Cybersecurity Strategy mitigates cyber risks