NETWORK INTRUSION DETECTION PREVENTION SYSTEM USING FUZZY LOGIC AND GENETIC ALGORITHM
Now a day is very important to maintain a high level security to keep information safe and secure between different organizations. The data communication over internet is always under threat of intrusions and misuses. Thus the intrusion Detection Systems have become a need in network security. Fuzzy logic and Genetic Algorithm are two techniques that can use combine to classify network attack information. Fuzzy rule is a machine learning algorithm that can classify network attack data, while a genetic algorithm is an optimization algorithm that can use to find appropriate fuzzy rule and give the best solution. The objective of this paper is to describe a fuzzy genetic based learning algorithm and discuss its usage to detect intrusion in a computer network.