Privacy Preservation Using Network Coding Against Traffic Analysis in Wireless Network

Wireless spoofing attacks are simple to execute, yet they have a big impact on how well wireless sensor networks function. Cryptographic authentication can be used to confirm a node’s identity; however, due to their overhead, traditional security measures are not always preferable. The difficult challenges in a wireless sensor network are spotting spoofing attackers, counting attackers, locating many adversaries, and taking them out. The spoofing attackers are found and located using the clustering approach. This strategy falls short of precisely predicting the attackers. Finding the spoofing attackers is advised via an intrusion detection system (IDS). In order to monitor node behavior within their cluster, such as packet transmission, and to help wireless sensor networks identify the misbehaving nodes, the cluster head serves as an IDS. The OTCL language is used to simulate. Linux serves as the operating system. Network Simulator 2 is a simulation software program for Linux. The simulation results will definitely show that the offered strategy successfully and consistently identifies spoofing attackers in wireless sensor networks.