Blockchain-Based Approaches for Network Security Enhancement: Mechanisms, Applications, and Future Directions

Chenning Li

doi:10.54097/ek9xp791

Authors

Chenning Li

DOI:

https://doi.org/10.54097/ek9xp791

Keywords:

Blockchain, Network Security, DDoS Mitigation, Threat Intelligence Sharing, IoT Security

Abstract

Traditional network security mechanisms, including firewalls, intrusion detection systems, and cryptographic schemes, have become insufficient in combating increasingly sophisticated cyberattacks. The emergence of decentralized and large-scale network environments, such as the Internet of Things (IoT) and cloud computing, has further complicated the protection of data integrity, privacy, and trust management. In this context, blockchain technology provides a new paradigm for enhancing network security through decentralization, immutability, and cryptographic consensus mechanisms. This paper explores the achievements and future prospects of blockchain applications in network security based on an extensive review of recent studies, which are mainly published in IEEE, Springer, and Elsevier, as well as experimental case studies from real-world blockchain-based security frameworks. It introduces the principles of blockchain and the challenges inherent in current network security systems. Then, it investigates how blockchain has been effectively utilized in distributed denial-of-service (DDoS) mitigation, threat intelligence sharing, and secure data sharing in IoT environments. Existing challenges of blockchain-based applications are also discussed, including scalability, interoperability, and energy efficiency. Furthermore, it evaluates potential directions for future research and development. The findings suggest that integrating blockchain into network security infrastructure can significantly improve transparency, resilience, and trustworthiness in digital ecosystems.

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References

[1] Conti, M., Kumar, E. S., Lal, C., & Ruj, S. (2020). A survey on security and privacy issues of blockchain technology. IEEE Communications Surveys & Tutorials, 22(2), 1191–1219.

[2] Ferrag, M. A., Derdour, M., Mukherjee, M., Derhab, A., Maglaras, L., & Janicke, H. (2019). Blockchain technologies for the Internet of Things: Research issues and challenges. IEEE Internet of Things Journal, 6(2), 2188–2204.

[3] Kumar, K., & Khari, M. (2025). Federated active meta-learning with blockchain for zero-day attack detection in industrial IoT. Peer-to-Peer Networking and Applications.

[4] Nakamoto, S. (2008). Bitcoin: A peer-to-peer electronic cash system.

[5] Ram Sundar, G., Rajput, K., Dhanasekaran, S., Aeri, M., Shukla, R. P., & Singh, S. K. (2024). Enhancing network security in distributed environments using blockchain-based solutions. In Proceedings of the International Conference on Data Science and Intelligent Systems (ICDSIS).

[6] Chaganti, R., Bhushan, B., & Ravi, V. (2022). The role of Blockchain in DDoS attacks mitigation: techniques, open challenges and future directions. ArXiv, abs/2202.03617.

[7] Antonakakis, M., April, T., Bailey, M., Bernhard, M., Bursztein, E., Cochran, J., Durumeric, Z., Halderman, J. A., Invernizzi, L., Kallitsis, M., Kumar, D., Lever, C., Ma, Z., Mason, J., Menscher, D., Seaman, C., Sullivan, N., Thomas, K., & Zhou, Y. (2017). Understanding the Mirai botnet. In Proceedings of the 26th USENIX Security Symposium (USENIX Security 17) (pp. 1093–1110). USENIX Association.

[8] Shah, Z., Ullah, I., Li, H., Levula, A., & Khurshid, K. (2022). Blockchain Based Solutions to Mitigate Distributed Denial of Service (DDoS) Attacks in the Internet of Things (IoT): A Survey. Sensors (Basel, Switzerland), 22(3), 1094.

[9] Alouffi, B., Hasnain, M., Alharbi, A., Alosaimi, W., Alyami, H., & Ayaz, M. (2021). A systematic literature review on cloud computing security: Threats and mitigation strategies. IEEE Access, 9, 57792–57807.

[10] A. Singh et al., 'DDoS attacks and blockchain-based mitigation techniques,' IEEE Access, 2021.

[11] Chatziamanetoglou, D., & Rantos, K. (2021). CTI blockchain-based sharing using proof-of-quality consensus algorithm. In 2021 IEEE International Conference on Cyber Security and Resilience (CSR) (pp. 331–336). IEEE.

[12] Xuan, S., Tang, H., Wang, W., & Yang, W. (2020). Application of blockchain technology in constructing network threat intelligence system. In Proceedings of the 2020 2nd International Conference on Blockchain Technology (ICBCT '20) (pp. 144–149). Association for Computing Machinery.

[13] Shitharth, S., Manoharan, H., Shankar, A., Alsowail, R. A., Pandiaraj, S., Edalatpanah, S. A., & Viriyasitavat, W. (2023). Federated learning optimization: A computational blockchain process with offloading analysis to enhance security. Egyptian Informatics Journal, 24(4), Article 100406.

[14] Kumar, V. N., Veerender, A., Madhukar, G., Soujanya, K. L. S., Naryana, V. A., & Vivekananda, A. (2025). A novel IoT-based blockchain approach for evaluating confidential data sharing by providing data privacy, integrity, and reliability. In V. K. Gunjan, A. Kumar, J. M. Zurada, & S. N. Singh (Eds.), Computational intelligence in machine learning (ICCIML 2023) (Lecture Notes in Electrical Engineering, Vol. 1400). Springer.