An Intrusion Detection System Based on NSGA-II Algorithm

Ali Tamimi; Desineni Subbaram Naidu; Sanaz Kavianpour

doi:10.1109/CyberSec.2015.20

An Intrusion Detection System Based on NSGA-II Algorithm

Ali Tamimi, Desineni Subbaram Naidu, Sanaz Kavianpour

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Scopus citations

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 language	English (US)
Title of host publication	Proceedings - 4th International Conference on Cyber Security, Cyber Warfare, and Digital Forensics, CyberSec 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	58-61
Number of pages	4
ISBN (Electronic)	9781467384995
DOIs	https://doi.org/10.1109/CyberSec.2015.20
State	Published - Jun 14 2016
Event	4th International Conference on Cyber Security, Cyber Warfare, and Digital Forensics, CyberSec 2015 - Jakarta, Indonesia Duration: Oct 29 2015 → Oct 31 2015

Publication series

Name	Proceedings - 4th International Conference on Cyber Security, Cyber Warfare, and Digital Forensics, CyberSec 2015

Other

Other	4th International Conference on Cyber Security, Cyber Warfare, and Digital Forensics, CyberSec 2015
Country/Territory	Indonesia
City	Jakarta
Period	10/29/15 → 10/31/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

Evolutionary Algorithms
Intrusion Detection System
Network Security
Non-dominated sorting genetic algorithm

Publisher link

10.1109/CyberSec.2015.20

Find It

Find It at U of M Libraries

Cite this

Tamimi, A., Naidu, D. S., & Kavianpour, S. (2016). An Intrusion Detection System Based on NSGA-II Algorithm. In Proceedings - 4th International Conference on Cyber Security, Cyber Warfare, and Digital Forensics, CyberSec 2015 (pp. 58-61). [7491562] (Proceedings - 4th International Conference on Cyber Security, Cyber Warfare, and Digital Forensics, CyberSec 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CyberSec.2015.20

An Intrusion Detection System Based on NSGA-II Algorithm. / Tamimi, Ali; Naidu, Desineni Subbaram; Kavianpour, Sanaz.
Proceedings - 4th International Conference on Cyber Security, Cyber Warfare, and Digital Forensics, CyberSec 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 58-61 7491562 (Proceedings - 4th International Conference on Cyber Security, Cyber Warfare, and Digital Forensics, CyberSec 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Tamimi, A, Naidu, DS & Kavianpour, S 2016, An Intrusion Detection System Based on NSGA-II Algorithm. in Proceedings - 4th International Conference on Cyber Security, Cyber Warfare, and Digital Forensics, CyberSec 2015., 7491562, Proceedings - 4th International Conference on Cyber Security, Cyber Warfare, and Digital Forensics, CyberSec 2015, Institute of Electrical and Electronics Engineers Inc., pp. 58-61, 4th International Conference on Cyber Security, Cyber Warfare, and Digital Forensics, CyberSec 2015, Jakarta, Indonesia, 10/29/15. https://doi.org/10.1109/CyberSec.2015.20

Tamimi A, Naidu DS, Kavianpour S. An Intrusion Detection System Based on NSGA-II Algorithm. In Proceedings - 4th International Conference on Cyber Security, Cyber Warfare, and Digital Forensics, CyberSec 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 58-61. 7491562. (Proceedings - 4th International Conference on Cyber Security, Cyber Warfare, and Digital Forensics, CyberSec 2015). doi: 10.1109/CyberSec.2015.20

Tamimi, Ali ; Naidu, Desineni Subbaram ; Kavianpour, Sanaz. / An Intrusion Detection System Based on NSGA-II Algorithm. Proceedings - 4th International Conference on Cyber Security, Cyber Warfare, and Digital Forensics, CyberSec 2015. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 58-61 (Proceedings - 4th International Conference on Cyber Security, Cyber Warfare, and Digital Forensics, CyberSec 2015).

@inproceedings{23c75c8354d24a209c2a1f586c74f0ea,

title = "An Intrusion Detection System Based on NSGA-II Algorithm",

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.",

keywords = "Evolutionary Algorithms, Intrusion Detection System, Network Security, Non-dominated sorting genetic algorithm",

author = "Ali Tamimi and Naidu, {Desineni Subbaram} and Sanaz Kavianpour",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 4th International Conference on Cyber Security, Cyber Warfare, and Digital Forensics, CyberSec 2015 ; Conference date: 29-10-2015 Through 31-10-2015",

year = "2016",

month = jun,

day = "14",

doi = "10.1109/CyberSec.2015.20",

language = "English (US)",

series = "Proceedings - 4th International Conference on Cyber Security, Cyber Warfare, and Digital Forensics, CyberSec 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "58--61",

booktitle = "Proceedings - 4th International Conference on Cyber Security, Cyber Warfare, and Digital Forensics, CyberSec 2015",

}

TY - GEN

T1 - An Intrusion Detection System Based on NSGA-II Algorithm

AU - Tamimi, Ali

AU - Naidu, Desineni Subbaram

AU - Kavianpour, Sanaz

PY - 2016/6/14

Y1 - 2016/6/14

N2 - 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.

AB - 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.

KW - Evolutionary Algorithms

KW - Intrusion Detection System

KW - Network Security

KW - Non-dominated sorting genetic algorithm

UR - http://www.scopus.com/inward/record.url?scp=84979223368&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84979223368&partnerID=8YFLogxK

U2 - 10.1109/CyberSec.2015.20

DO - 10.1109/CyberSec.2015.20

M3 - Conference contribution

AN - SCOPUS:84979223368

T3 - Proceedings - 4th International Conference on Cyber Security, Cyber Warfare, and Digital Forensics, CyberSec 2015

SP - 58

EP - 61

BT - Proceedings - 4th International Conference on Cyber Security, Cyber Warfare, and Digital Forensics, CyberSec 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 4th International Conference on Cyber Security, Cyber Warfare, and Digital Forensics, CyberSec 2015

Y2 - 29 October 2015 through 31 October 2015

ER -

An Intrusion Detection System Based on NSGA-II Algorithm

Abstract

Publication series

Other

Bibliographical note

Keywords

Publisher link

Find It

Other files and links

Fingerprint

Cite this