DEVELOPMENT OF ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM BASED NETWORK INTRUSION DETECTION SYSTEM

Intruders' computers, who are spread across the Internet, have become a major threat in our world. Many researchers proposed a number of techniques such as (firewall, encryption) to prevent such penetration and protect the infrastructure of computers as well as information, but with this, the intruders managed to penetrate the computers. IDS which are increasingly a key part of system defense are used to identify abnormal activities in a computer system. So IDS has taken much of the attention of researchers, IDS monitors the resources computer and sends a report on the activities strange patterns the proposed system. We are going to design Adaptive Neuro-Fuzzy based system for effectively identifying the intrusion activities within a network. The proposed Adaptive Neuro-Fuzzy Inference based system will be able to detect an intrusion behavior of the networks. The experiments and evaluations of the proposed network intrusion detection system will be performed with the NSL- KDD dataset.