An intrusion detection system based on NSGA-II algorithm

Ali Tamimi, Desineni Subbaram Naidu, Sanaz Kavianpour

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Attack detection is one of the most important issues for computer networks security. Intrusion Detection System (IDS) monitors network for malicious activity. In this paper, a method is proposed to identify the attacks in IDS. This method generates rule sets for Intrusion Detection System using non-dominated sorting genetic algorithm (NSGA-II). NSGA-II is one type of multi objective genetic algorithms. This method considers features of computer connection and defines two different fitness functions for generating the rules. The advantage of this method compared with previous methods which applied Evolutionary Algorithm. Since some methods applied one fitness function or convert many objectives to single objective, they lost many features.
Original languageEnglish
Title of host publicationAn Intrusion Detection System Based on NSGA-II Algorithm
PublisherIEEE
Pages58-61
Number of pages4
ISBN (Electronic)9781467384995
DOIs
Publication statusPublished - 16 Jun 2016
Externally publishedYes
EventFourth International Conference on Cyber Security, Cyber Warfare, and Digital Forensic - Sampoerna University, Jakarta, Indonesia
Duration: 29 Oct 201531 Oct 2015
Conference number: 4th

Conference

ConferenceFourth International Conference on Cyber Security, Cyber Warfare, and Digital Forensic
Abbreviated titleCyberSec 2015
CountryIndonesia
CityJakarta
Period29/10/1531/10/15

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Cite this

Tamimi, A., Naidu, D. S., & Kavianpour, S. (2016). An intrusion detection system based on NSGA-II algorithm. In An Intrusion Detection System Based on NSGA-II Algorithm (pp. 58-61). IEEE . https://doi.org/10.1109/CyberSec.2015.20