Vampire Attack Mitigation and Network Performance Improvement Using Probabilistic Fuzzy Chain Set with Authentication Routing Protocol and Hybrid Clustering-Based Optimization in Wireless Sensor Network

The most effective threat for wireless sensor networks (WSN) is Vampire attacks on nodes as they can stretch the network connectivity among them and influence network’s energy, which drain network. attack has particular malicious nature of in widely exploit features combined routing protocol. Fuzzy rules fuzzy sets are highly optimal techniques mitigating vampire network, quantify uncertain behaviour nodes. This study aims to propose a novel technique using probabilistic chain set with authentication-based protocol hybrid clustering data optimization suggested approach here employs fuzzy-based rule combat growing types assaults probability formulas. authentication increased security. proposed (PFCS-ARP_HC) optimized energy consumption Simulation this been carried out NS2 experimental results show performance model terms throughput 98%, packet delivery ratio 89%, 67%, latency 46% control overhead 53%, detection 87.9%.