Detection of wormhole attack in static wireless sensor networks

Abstract

Wireless sensor networks are vulnerable to many more attacks. Wormhole attack is very dangerous to wireless sensor networks because it is a gateway to many more attacks such as black hole, gray hole, Sybil, jellyfish, denial of service. Without knowing the protocols used in the network, an attacker launches a wormhole attack by placing two malicious nodes in two different parts of the network which are far away from each other. In this way, an attacker tries to disturb the routing process. An attacker can drop the packets, modify the packets, and analyze the traffic. In this paper, we have proposed a wormhole detection method based on neighborhood information and alternate path length calculation. Simulation results show that our approach has good detection accuracy with less storage requirements.