Abstract
Network Security is the most demanding domain in the Computer Science field. Network architectures are more vulnerable to malicious attacks. For this reason, updated mechanisms should be applied to network security. The concept of Network Intrusions Detection System helps in identifying the occurrence of malicious activity in a network. Various applications have been developed in order to detect attacks. But Soft Computing applications, specifically the Neuro-Fuzzy based IDS help in detecting intrusions with a higher rate.