A Propose Neuro-Fuzzy-Genetic Intrusion Detection System

exponential growth and development of the internet has created many problems on network security. Current intrusion detection system has failed to fully protect system against sophisticated attacks. This research work explores some dedicated methodologies such as Artificial Neural Network (ANN), Fuzzy Logic, and Genetic Algorithms applied to Intrusion Detection Systems but attacks against networks and information systems are still successful. We proposed Neuro- fuzzy Genetic Intrusion Detection System which is a fusion of the three Artificial Intelligence techniques. We foresee they would stand a fighting chance against any sophisticated attack, improve accuracy, precision rate and reduce the false positive rate and would protect data integrity, confidentiality and availability. We also discuss the dataset for evaluating the system. In this work we have identified a new research direction in the related field. Keywords-fuzzy, Genetic algorithm, Artificial Neural Network, Fuzzy logic, intrusion detection system and Dataset.