A Study on Intrusion Detection in Wireless Networks by Using Genetic Algorithm Applications

In today´s era of drastically improved technology and increasing scalability for large number of users, need for a secure system has grown immensely. To protect networks from unauthorized entries and hackers, intrusion detection systems provides improved monitoring of malicious entries and provides integrity to the system. This growing problem has motivated widespread research in particular field. Till now, many approaches has been defined by various researchers to improve the detection rate of intrusions over networks. This paper provides a brief study on significance of evolutionary approach genetic algorithm for intrusion detection to classify and detect intrusions. Methodology of genetic algorithm based intrusion detection systems and review on different approaches introduced in the field has been illustrated with the help of flowcharts for easy interpretation. This paper will provide a helpful review to the promising researchers on the relevant topic.