AI-Based Wormhole Attack Detection Techniques in Wireless Sensor Networks

The popularity of wireless sensor networks for establishing different communication systems is increasing daily. A network consists sensors prone to various security threats. These nodes make a vulnerable denial-of-service attacks. One them wormhole attack that uses low latency link between two malicious and affects the routing paths entire network. This brutal as it resistant many cryptographic schemes hard observe within paper provides comprehensive review literature on subject detection mitigation attacks in networks. existing surveys are also explored find gaps literature. Several based methods evaluated critically terms throughput, rate, energy consumption, packet delivery ratio, end-to-end delay. As artificial intelligence machine learning have massive potential efficient management networks, this AI- ML-based optimal solutions identified state-of-the-art problems detection. per author’s knowledge, first in-depth techniques Finally, our open research challenges detecting mitigating