Byzantine Attack Detection in a WSN Using Extended Kalman Filter

Wireless sensor networks, or WSNs, are getting employed more extensively in pandemic computing to track current status of the environment. Nevertheless, the sensors were made with a particular purpose in mind due to the severe power limitations. The extended Kalman filter algorithm is suggested in this article as a way to recognize Byzantine attacks on wireless sensor network nodes. A node is deemed to be under Byzantine attack if the difference between its expected and actual values exceeds the threshold. Then the data from that node is discarded. Additional real-time data is gathered, and simulations are run to support our assertion.