Misdirection Attack in Wireless Sensor Network Using Threshold Method

Wireless Sensor Networks (WSNs) are constrained in terms of resources, have an ad-hoc nature, and are susceptible to various network attacks. Due to their vulnerability to different types of attacks, safeguarding them requires unique security solutions. Among the potential Denial of Service (DoS) attacks on WSNs, the Misdirection attack is particularly challenging to identify and counteract. This attack occurs when a malicious node within the network redirects incoming packets to unintended destinations, leading to increased network delays, sometimes to an infinite extent. Consequently, this also leads to a reduction in network throughput. Therefore, detecting and preventing Misdirection attacks is a critical and complex task. In this study, a new approach has been introduced to detect and isolate these malevolent nodes responsible for instigating such attacks. This innovative method relies on a threshold-based technique. The proposed algorithm has been implemented using Ns2, and the results have been evaluated in terms of factors like delay, energy consumption, and data throughput. The comparison of suggested method is done with the traditional methods. The analysis depicts that the suggested method offers favorable performance with regard to these particular parameters. This method offers a throughput of 81%, energy utilization of 17% and the delay of 3.6% in comparison with other methods.