An Efficient Wormhole Attack Detection Method in Wireless Sensor Networks

Wireless Sensor Networks (WSNs) have gained increasing interest in recent decades due to their usefulness. The wormhole attack is one of the most famous types of attacks that target WSNs, and it could be a reason for many attacks, such as denial of service, Gray hole, Sybil, etc. It is described as having two intruder nodes that formulate an untrusted shortcut through the network to control the transmitted packets. An attacker can change the packets, drop them, and analyze the traffic. Therefore, it is essential to protect WSNs from this type of attack. While methods to achieve that exist, one of the least explored performance measures in these methods is energy consumption. Therefore, this research study proposed an energy-efficient detection method that was implemented and tested in MATLAB to ensure its effectiveness. The proposed method achieved a 77.6% detection rate with minimal energy consumption.