Intrusion detection in wireless networks using Genetic Algorithm
Fozia Hanif Khan, Rehan Shams, Muhammad Aamir, Muhammad Waseem, Mujtaba Memon · International Conference on Computing for Sustainable Global Development · 2015
It is very important to maintain a high level security to ensure safe and trusted communication of information between various organizations. As the growth of computer networks is increasing day by day in modern society, therefore network security is one of the hottest issue to be solved. This paper proposes application of Genetic Algorithm (GA) for network intrusion detection system. Any action that tries to compromise the confidentially, integrity or availability of resources is termed as intrusion and the detection of such intrusion by the help of a system is called as intrusion detection system (IDS). The proposed GA is a hybrid evolutionary technique specially developed for intrusion detection. The technique developed has been implemented and the experiments have shown the promising results. The evolutionary process of this technique including its parameters and the experimental outcomes are discussed at length in this paper. In this paper we have made the comparison of our technique with the GNN classifier technique and the outcomes from our experiment have given promising results towards applying genetic algorithm for network intrusion detection.