Detection and prevention of wormhole attack in wireless sensor networks

Wireless sensor network detection is compromised by a wormhole. In this study, we propose a technique to identify wormhole invasions in wireless sensor networks. Wormhole attacks are particularly challenging to defend against since the attacker doesn't have to compromise any nodes and can send packets on channels with low latency utilizing wireless gadgets like laptops and cellphones. In recent years, wireless sensor networks (WSNs) have become one of the most significant research areas in computer science, in part due to the challenging issues that these networks and their diverse variety of applications have raised. For the same reason, security on these networks, however, becomes a major concern. Due to limitations in their computing capabilities, memory capacity, battery life, processing power, and tamper-resistant packaging, wireless sensor networks are susceptible to a number of internal and external attacks. Comparisons with a number of related techniques from the literature, such as Wormhole Detection Neighborhood Information, Authentication of Nodes Scheme (ANS), Received Signal Strength (RSS), and Wormhole Detection Using Hound Packet (WHOP) using the NS-2 simulator, are used to validate the proposed detection method. Based on simulation results, regional routing techniques have a low False Detection Rate (FDR).