A BLOCKCHAIN-DRIVEN ALGORITHM FOR ANOMALY DETECTION IN IPV6 NETWORK TRAFFIC

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.