Implementation of Intrusion Detection System using Adaptive Neuro-Fuzzy Inference System for 5G wireless communication network

In the present scenario, the demand for extended coverage, low latency and increased data rate is the need of the hour. Many emerging 5G technologies like massive Multiple Input Multiple Output and device to device communication are introduced in order to meet these increasing demands. For extending the coverage region, new wireless components are introduced in the network like relays, Small Cell Access Point and hotspots. But these components are highly vulnerable to security breaches and thus provides an entry point for the intruder to enter into the network. In this paper, a general 5G wireless communication network with an incorporated relay is proposed. This paper focuses on the implementation of Intrusion Detection System using Adaptive Neuro-Fuzzy Inference System using KDD cup 99 data set for detecting an attack on the relay. The effect of varying the membership function and learning algorithms have also been analyzed.