Artificial Intelligence based Techniques for Intrusion Detection System : A Review

Authors(1) :-Mitava Shah

Intrusion Detection systems (IDSs) have previously been built by hand. These systems have adversity successfully classifying intruders, and require a handsome amount of computational overhead making it difficult to create robust real-time IDS systems. Artificial Intelligence techniques (AI) can reduce the human effort required to build these systems and can improve their performance. Network intrusion detection is a serviceable part of an information security system. The rapid increase in the number of different types of attacks has increased the complexity involved in designing an intrusion detection system. In this paper, several AI based techniques used for the development of IDS have been reviewed.

Authors and Affiliations

Mitava Shah
Raksha Shakti University, Ahmedabad, Gujarat, India

Artificial Intelligence, Intrusion Detection, Feature Selection

  1. Tarapore N.Z., Kulkarni D.B. AND Kamakshi P.V. Journal of Artificial Intelligence Volume 3, Issue 3, 2012, pp.-111-116.
  2. Selma Dilek, Huseyin Çak?r and Mustafa Ayd?n International Journal of Artificial Intelligence & Applications (IJAIA), Vol. 6, No. 1, January 2015.
  3. Kajal Rai, M. Syamala Devi and Ajay Guleria Int. J. Advanced Networking and Applications Volume: 07 Issue: 04 Pages: 2828-2834 (2016).
  4. K.P.Kaliyamurthie, D.Parameswari and DR. R.M. Suresh IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 2, No 3, March 2012.
  5. Jeremy Frank , Nsa Urp Mda--c In Proceedings of the 17th National Computer Security Conference.
  6. Citeseer.ist.psu.edu.
  7. Areej Yassin, Donald Berndt and Monica Chiarini Proceedings Americas Conference on Information Systems(AMCIS) December 2006.
  8. David Iclanzan, Fabio Daolio and Marco Tomassini Evolutionary Computation in Combinatorial Optimisation pp 157-169.
  9. José Helano Matos Nogueira The International Journal of FORENSIC COMPUTER SCIENCE IJoFCS (2006) 1, 28-32.

Publication Details

Published in : Volume 2 | Issue 6 | November-December 2017
Date of Publication : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 465-468
Manuscript Number : CSEIT1726161
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Mitava Shah, "Artificial Intelligence based Techniques for Intrusion Detection System : A Review", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 6, pp.465-468, November-December-2017.
Journal URL : http://ijsrcseit.com/CSEIT1726161

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