Deep neural network for the purpose of developing an intrusion detection system for wireless sensor networks

A wireless sensor network is composed of a large number of sensor nodes, which collects data and transmits it to a centralised location. They have a lot of security problems, though, because nodes have limited resources. Network intruder monitoring systems do these things for the network, and any information network has to have them. Techniques from the field of machine learning are often used in breach detection systems. Based on the findings of this research, a deep neural network-based intruder detection system was proposed as a solution to this issue and an improvement to performance. Intrusion detection systems can be very helpful in finding and stopping security threats. One way to solve this problem is to use the intrusion detection system with more efficient methods that can choose the best route at every point. The proposed method shows an accuracy of 97.5%.