JEMTEC

Nowadays security has become a major issue in computer networks . Monitoring the network or system activities for suspicious activities or rule violations has been a growing problem motivating widespread research in computer science to detect better Intrusion Detection Systems (IDSs). Here I present an optimization approach known as Particle Swarm Optimization (PSO) which will detect new attacks by forming new rules. The algorithm takes into consideration a set of classification rule derived from network audit data and support confidence framework as fitness function to judge the quality of each rule. The new advancements in the field of computer networks or internet are benefitting our life by giving us better technologies to share our data. With information sharing, problem of security is also becoming complicated. To overcome this we have various methods like firewalls , anti-viruses, passwords, etc., but it is very difficult to provide complete security. An Intrusion detection system