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Blockchain and Distributed Ledger Technologies for Cyberthreat Intelligence Sharing

Asadullah Tariq, Tariq Qayyum, Saed Alrabaee, Mohamed Adel Serhani

TL;DR

This paper surveys intelligence sharing and analyzes how blockchain and distributed ledger technology can enhance trust, privacy, and resilience in cyber threat information exchange. It details the fundamental concepts, taxonomy, and security/privacy considerations of DL Ts, and reviews a broad set of related work and national strategies. It then outlines practical experimental setups, datasets, and metrics for evaluating CTI solutions on blockchain/DLT platforms, and discusses future directions, including interoperability, energy efficiency, and regulatory alignment. The study highlights the potential for blockchain-enabled CTI sharing to improve security, efficiency, and accountability, while stressing the need for careful design to mitigate privacy risks and governance challenges.

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.

Blockchain and Distributed Ledger Technologies for Cyberthreat Intelligence Sharing

TL;DR

This paper surveys intelligence sharing and analyzes how blockchain and distributed ledger technology can enhance trust, privacy, and resilience in cyber threat information exchange. It details the fundamental concepts, taxonomy, and security/privacy considerations of DL Ts, and reviews a broad set of related work and national strategies. It then outlines practical experimental setups, datasets, and metrics for evaluating CTI solutions on blockchain/DLT platforms, and discusses future directions, including interoperability, energy efficiency, and regulatory alignment. The study highlights the potential for blockchain-enabled CTI sharing to improve security, efficiency, and accountability, while stressing the need for careful design to mitigate privacy risks and governance challenges.

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.

Paper Structure

This paper contains 69 sections, 5 figures, 4 tables.

Figures (5)

  • Figure 1: Illustration of Cyber threat intelligence sharing for different scenarios using blockchain technology.
  • Figure 2: Illustration of Ledger technologies.
  • Figure 3: Illustration of Taxonomy of DLT
  • Figure 4: Illustration intelligence sharing using blockchain
  • Figure 5: Illustration intelligence sharing framework discussed in r38