Applying Genetic Algorithm in Intrusion Detection System of IoT Applications
Vinod Kumar Jain, Mayank Agrawal
Abstract
Internet of Things (IoT) is a rapidly growing technology nowadays. It has many applications in daily life equipment and used in various ways to improve the daily life of a human being. The applications of IoT is not limited to any area. The research is going to discover more areas in which IoT is applicable. The IoT applications have many areas in which there is a need to optimize things more. Intrusion Detection System is a system that monitors an internet based application for malicious activities. Genetic Algorithm is a heuristic technique to solve optimization problems. In this paper, a new approach for IDS using a genetic algorithm is proposed. The proposed algorithm is applied on a KDD99 cup data set to check its performance.