Е-Публикации
Технически университет - София

Abstract: Intrusion detection systems can detect any entity or intrusions that can cause a violation of confidentiality, integrity, or availability in a system or network. We reflect on the use of blockchain technology for intrusion detection in cyber systems in this paper. We review the state-of-the-art literature adopting different blockchain technology-based methods for intrusion detection systems and compare the methodologies used. We also identify the advantages and limitations of these existing approaches and analyze the performance evaluation metrics used in these studies. Further, we identify several open research issues in blockchain-based intrusion detection and suggest some future research directions based on our findings.

References

1. N. Gupta, V. Jindal, and P. Bedi, "A survey on intrusion detection and prevention systems, " SN Computer Science, vol. 4, no. 5, 2023.
2. O. Alkadi, N. Moustafa, B. Turnbull, and K. R. Choo, "A deep blockchain framework-enabled collaborative intrusion detection for protecting IoT and cloud networks, " IEEE Internet of Things Journal, vol. 8, no. 12, 2020.
3. X. Liang et al., "Provchain: A blockchain-based data provenance architecture in a cloud environment with enhanced privacy and availability, " in 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, 2017.
4. S. Ali, Q. Li, and A. Yousafzai, "Blockchain and federated learning-based intrusion detection approaches for edge-enabled industrial IoT networks: A survey, " Ad Hoc Networks, vol. 152, 2024.
5. S. S. Mathew, K. Hayawi, N. A. Dawit, I. Taleb, and Z. Trabelsi, "Integration of blockchain and collaborative intrusion detection for secure data transactions in industrial IoT: A survey, " Cluster Computing, vol. 25, no. 6, 2022.
6. H. Boukhriss, O. Boutkhoum, A. Arqane, and A. E. Moutaouakil, "Collaborative intrusion detection system in blockchain: A review, " in AIP Conference Proceedings, vol. 2814, no. 1, 2023.
7. W. Meng, E. W. Tischhauser, Q. Wang, Y. Wang, and J. Han, "When intrusion detection meets blockchain technology: A review, " IEEE Access, vol. 6, 2018.
8. O. Alkadi, N. Moustafa, and B. Turnbull, "A review of intrusion detection and blockchain applications in the cloud: Approaches, challenges, and solutions, " IEEE Access, vol. 8, 2020.
9. R. R. Kanth, and T. P. Jacob, "Enhanced capsule generative adversarial network with blockchain fostered intrusion detection system for enhancing cyber security in cloud, " in 2nd International Conference on Smart Technologies and Systems for Next Generation Computing, 2023.
10. S. Siddamsetti, and M. Srivenkatesh, "Implementation of blockchain with machine learning intrusion detection system for defending IoT botnet and cloud networks, " Ingénierie des Systèmes d'Information, vol. 27, no. 6, 2022.
11. N. Alexopoulos, E. Vasilomanolakis, N. R. Ivánkó, and M. Mühlhäuser, "Towards blockchain-based collaborative intrusion detection systems, " in Critical Information Infrastructures Security: 12th International Conference, CRITIS, 2017.
12. C. Liang et al., "Intrusion detection system for the internet of things based on blockchain and multi-agent systems, " Electronics, vol. 9, no. 7, 2020.
13. F. Y Assiri, and M. Ragab, "Optimal deep-learning-based cyberattack detection in a blockchain-assisted IoT environment, " Mathematics, vol. 11, no. 19, 2023.
14. N. A. Alsharif, S. Mishra, and M. Alshehri, "IDS in IoT using machine learning and blockchain, " Engineering, Technology & Applied Science Research, vol. 13, no. 4, 2023.
15. W. Li, Y. Wang, and J. Li, "A blockchain-enabled collaborative intrusion detection framework for SDN-assisted cyber-physical systems, " International Journal of Information Security, 2023.
16. P. Kumar et al., "Blockchain and deep learning for secure communication in digital twin empowered industrial IoT network, " IEEE Transactions on Network Science and Engineering, 2022.
17. V. M. Saravanan, S. M. Rafee, P. Sanju, T. B. Rehman, and B. Pattanaik, "IoT-based blockchain intrusion detection using optimized recurrent neural network, " Multimedia Tools and Applications, 2023.
18. A. Aljabri, F. Jemili, and O. Korbaa, "Intrusion detection in cyberphysical system using RSA blockchain technology, " Multimedia Tools and Applications, 2023.
19. R. F. Mansour, "Artificial intelligence based optimization with deep learning model for blockchain-enabled intrusion detection in CPS environment, " Scientific Reports, vol. 12, no. 1, 2022.
20. G. N. Nguyen et al., "Secure blockchain enabled cyber-physical systems in healthcare using deep belief network with ResNet model, " Journal of Parallel and Distributed Computing, vol. 153, 2021.
21. M. Kumar, H. Raj, N. Chaurasia, and S. S. Gill, "Blockchain inspired secure and reliable data exchange architecture for cyber-physical healthcare system 4. 0, " Internet of Things and Cyber-Physical Systems, 2023.
22. R. Khan, A. Mehmood, Z. Iqbal, C. Maple, and G. Epiphaniou, "Security and privacy in connected vehicle cyber-physical system using zeroknowledge succinct non-interactive argument of knowledge over blockchain, " Applied Sciences, vol. 13, no. 3, 2023.
23. M. T. Lwin, J. Yim, and Y. Ko, "Blockchain-based lightweight trust management in mobile ad-hoc networks, " Sensors, vol. 20, no. 3, 2020.
24. A. Mostafa, "VANET blockchain: A general framework for detecting malicious vehicles, " Journal of Communications, vol. 14, no. 5, 2019.
25. S. Anbalagan, G. Raja, S. Gurumoorthy, and K. Ayyakannu, "Blockchain assisted hybrid intrusion detection system in autonomous vehicles for industry 5. 0, " IEEE Transactions on Consumer Electronics, 2023.

Issue

Copyright IEEE