Guardians of the Reactor: Machine Learning Protection for Nuclear Plant Sensors

Wireless sensor networks (WSNs) must be reliable in the nuclear business to make sure that processes are safe. Although, the nuclear power business faces big problems because of the chance of unwanted entry through unusual ways. This research looks at how these issues might affect wireless sensor networks (WSNs) in nuclear power plants and how they might affect the general efficiency of the building. This problem needs to be fixed by using a strong stranger detection system that can connect to wireless sensor networks (WSNs). It is suggested to use a multi-tiered security system that includes machine learning techniques, anomaly detection methods, and network protocol analysis in order to find and stop any hostile attacks. A large amount of real and fake data is used to improve the ability of Wireless Sensor Networks (WSNs) to identify objects. As a result, nuclear power companies are safer. Our method shows a lot of promise in protecting important resources and stopping security breaches after a full empirical study and hard testing on many attack paths. To protect Wireless Sensor Networks (WSNs) from new attacks, this study shows that proactive security steps are needed. So, nuclear power companies will get better at dealing with new security threats while keeping their working skills.