A Review on Intelligent Data Mining and Soft Computing Techniques for Effective Intrusion Detection

Authors(2) :-Suma S G, Dr. Ganapathy Sannasi

The world of computer today is increasingly dependent on interconnections between computer systems. Internet usage is increasing rapidly that the security against real time attack is a major concern. An intrusion detection system is a key defensive mechanism against the network attacks. Various approaches to intrusion detection are being used currently. This paper discusses about the various feature selection and intelligent classification techniques that are used to detect intrusions effectively. In addition to this, intrusion detection systems based on intelligent soft computing techniques are also discussed. Finally, a new intrusion detection model based on artificial immune system and fuzzy rough set based feature selection is suggested for effective and dynamic intrusion detection.

Authors and Affiliations

Suma S G
SCSE, VIT, Chennai, Tamil Nadu, India
Dr. Ganapathy Sannasi
SCSE, VIT, Chennai, Tamil Nadu, India

Intrusion Detection System, Neural Networks, Artificial Immune System, Fuzzy System, Particle Swarm Optimization

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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) : 805-814
Manuscript Number : CSEIT1726216
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Suma S G, Dr. Ganapathy Sannasi, "A Review on Intelligent Data Mining and Soft Computing Techniques for Effective Intrusion Detection", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 6, pp.805-814, November-December-2017.
Journal URL : http://ijsrcseit.com/CSEIT1726216

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