• Vanita.Kewlani

In today’s world ,there has been a huge growth of computer networks which leads to a tremendous increment in the range of applications that depend on it.Hence,security in network has became very important. In addition, practically all computer methods in any organization endure from security vulnerabilities that are technically troublesome and economically expensive to be resolved by the manufacturers. Network intrusion Detection method is one of the principal accessories to observe and analyze the traffic to find out any viable assaults in the network. They're the security measurements of any network. NIDS plays an most important function in privateness protection. This paper reviews few techniques used for IDS , thereby giving an idea of creating a hybrid approach based on genetic algorithm and neural network.The key thought is to take skills of classification knowledge of genetic algorithm and neural network for intrusion detection procedure. The proposed model has capacity to identify an attack, to distinguish one attack from the other i.e. Classifying attack, and the predominant, to observe new attacks with high detection rate and low false negative.

Genetic Algorithm, Intrusion Detection System,Features Selection , Machine Learning , Neural Network.

"SURVEY ON ESTABLISHING A HYBRID METHODOLOGY FOR IDS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 12, page no.122-127, December-2015, Available :http://www.jetir.org/papers/JETIR1512021.pdf

"SURVEY ON ESTABLISHING A HYBRID METHODOLOGY FOR IDS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 12, page no. pp122-127, December-2015, Available at : http://www.jetir.org/papers/JETIR1512021.pdf