Author(s)

YuXin Li

Affiliation(s)

Jiangxi Normal University (JIANGXI NORMAL UNIVERSITY), Nanchang 330022, Jiangxi,China.

Corresponding Author

YuXin Li

ABSTRACT

As the deployment of IPv6 networks continues to expand, managing security threats becomes increasingly intricate due to the protocol’s extensive address space and dynamic traffic patterns. This paper presents a novel blockchain-driven decentralized anomaly detection algorithm designed explicitly for IPv6 networks. By leveraging the inherent properties of blockchain—immutability, transparency, and decentralization—our approach enhances security monitoring capabilities. Integrating traffic analysis with a distributed ledger facilitates improved accuracy in anomaly detection and robust resilience against distributed denial-of-service (DDoS) attacks and other threats. Experimental evaluations conducted in a simulated IPv6 environment demonstrate that the proposed methodology outperforms traditional centralized detection systems, significantly improving detection accuracy, attack mitigation, and data integrity. 

KEYWORDS

IPv6 networks; Blockchain-driven security; Anomaly detection algorithm; Decentralized monitoring; DDoS attack resilience

CITE THIS PAPER

YuXin Li. A blockchain-driven algorithm for anomaly detection in IPv6 network traffic. World Journal of Information Technology. 2024, 2(3): 1-4. DOI: https://doi.org/10.61784/wjit3007.

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