Mitigating Denial-of-Service Attacks Using Genetic Approach
Denial-of-Service attacks are considered as very dangerous. These attacks have crashed many computers on internet recently. Detecting Denial-of-Service (DoS) attacks has been a difficult problem to solve. Security of computers from DoS attacks has become a crucial issue. Recognition of attacks is becoming a harder problem to crack in the field of computer network security. In this paper, idea for use of a Genetic Algorithm (GA) based approach, for generation of rules to identify DoS attacks on the system is used. 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 identify attacks on the system.