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Intrusion Detection System Using Genetic Algorithm : A Survey


Vaibhavi M Pandya , Sardar vallabhbhai Patel Institute Of Technology, Vasad; Assi. Prof. Gargi Chauhan , Sardar vallabhbhai Patel Institute Of Technology, Vasad


Genetic Algorithm, IDS, Fitness Function, NIDS, HIDS, Detection Rate, False Positive Rate


Today, It is very important to provide a high level security to protect highly sensitive and private information. Intrusion Detection System is an essential technology in Network Security. Nowadays researchers have interested on intrusion detection system using Data mining techniques as an artful skill. So my aim is to use IDS system and improve the performance of the IDS. IDS is a software or hardware device that deals with attacks by collecting information from a variety of system and network sources, then analyzing symptoms of security problems. The main focus of Intrusion detection and prevention systems (IDPS) is to identify the possible incidents, logging information about them and in report attempts. But sometimes IDS is not able to detect some new attacks and vulnerabilities. The main aim of this paper is to provide the knowledge of the IDS and also gives the survey of genetic algorithm for IDS. So this paper provides basic knowledge of IDS system as well as how to use genetic algorithm for IDS and improve the future research.

Other Details

Paper ID: IJSRDV3I120172
Published in: Volume : 3, Issue : 12
Publication Date: 01/03/2016
Page(s): 158-164

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