Intrusion Detection System Using Genetic Algorithm : A Survey
Journal: International Journal for Scientific Research and Development | IJSRD (Vol.3, No. 11)Publication Date: 2016-02-01
Authors : Vaibhavi M Pandya; Assi. Gargi Chauhan;
Page : 158-164
Keywords : Genetic Algorithm; IDS; Fitness Function; NIDS; HIDS; Detection Rate; False Positive Rate;
Abstract
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 Latest Articles
- The study of effects of quarry dust on the strength of non-traffic paver block
- Design of Steering System in Race Cars
- A Survey on Subgraph Matching Algorithm for Graph Database
- SmartDigger: A Two-stage Crawler for Efficiently Harvesting Deep-Web
- Study on various GDI techniques for low power, high speed Full adder design
Last modified: 2016-02-12 19:22:34