Denial-of-Service Attack Detection Using Genetic-Based Algorithm

With the rapid growth of Internet in recent years, network intrusion has been a difficult problem to solve. Security of computers from harmful attacks has become a crucial issue. Recognition of attacks is becoming a harder problem to crack in the field of Computer Network Security. Denial of Service (DoS) attack is an attack which affects large number of computers in the world daily. Detection of DoS attacks and prevention of computers from it is a major research topic for researchers throughout the world. In this paper idea for use of a Genetic Algorithm (GA) based approach, for generation of rules to detect DoS attacks on the system is proposed. A short general idea of Intrusion Detection System, genetic algorithm and related detection techniques is provided. The GA will be trained on the KDD Cup 99 data set to generate a rule set that can be used to detect attacks on the system. The algorithm takes into consideration different features in network connections of KDD Cup 99 dataset to generate a rule set.