Intrusion Detection Based On Artificial Intelligence Techniques
Shefali Singh, K B Saxena, Zubair Khan · 2014
Information technology has become a main component to support critical infrastructure services in various sectors of our society. In effort to share information and streamline operations, organizations are creating complex networked systems and opening their networks to customers, suppliers, and other business partners. Whereas most users of these networks are legitimate users, an open network exposes the network to illegitimate access and use. Increased network complexity, greater access, and a growing emphasis on the internet have made network security a major concern for organizations. The number of computer security breaches has risen significantly in the last three years. While traditional approaches to network security have focused on prevention, network intrusion detection has become increasingly important in recent years to enable firms to reduce undetected intrusion. Intrusion Detection System is one of the most important security systems to detect intrusions in a variety of networks in a distributed environment. Here, we are doing a comparative study on Intrusion Detection System based on Artificial Intelligence techniques. The main techniques which are discussed here are Decision Trees, and SelfOrganizing Maps (SOM). We are describing these techniques and determining how these techniques aid in detecting intrusions in a networking environment and which is more suitable for intrusion detection002E