Fuzzy inference based intrusion detection system: FI-Snort

Nitin Naik

doi:10.1109/CIT/IUCC/DASC/PICOM.2015.306

Fuzzy inference based intrusion detection system: FI-Snort

Nitin Naik^*

^*Corresponding author for this work

College of Engineering and Physical Sciences

Research output: Chapter in Book/Published conference output › Conference publication

Abstract

Network security is one of the biggest concerns of any organisation irrespective of their size and nature of a business. Intrusion detection system (IDS) is considered as one of the most popular and effective security tools for generating alerts to the systems or network administrators to inform possible or existing threats. A standard IDS may not be very effective or even unsuitable for an organisational or individuals' requirements. For enhancing the power of IDS, security experts have been embedding additional level of intelligence by employing fuzzy logic, neural network, evolutionary techniques and many other AI techniques. This paper presents a fuzzy inference based intrusion detection system, FI-Snort. FI-Snort uses the most popular open source IDS, Snort, as a baseline. Experimental analysis shows that the addition of fuzzy inference with the IDS Snort provides an additional level of intelligence to predict the level/sensitivity of the threat. This enhanced version of Snort also reduces the false positives and false negatives.

Original language	English
Title of host publication	Proceedings - 13th IEEE International Conference on Dependable, Autonomic and Secure Computing (DASC), 2015
Publisher	IEEE
Pages	2062-2067
Number of pages	6
ISBN (Electronic)	9781509001545
DOIs	https://doi.org/10.1109/CIT/IUCC/DASC/PICOM.2015.306
Publication status	Published - 22 Dec 2015
Event	15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015 - Liverpool, United Kingdom Duration: 26 Oct 2015 → 28 Oct 2015

Publication series

Name	Proceedings - Proceedings - 13th IEEE International Conference on Dependable, Autonomic and Secure Computing (DASC), 2015

Conference

Conference	15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015
Country/Territory	United Kingdom
City	Liverpool
Period	26/10/15 → 28/10/15

Bibliographical note

Publisher Copyright:
© 2015 Crown.

Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.

Keywords

FI-Snort
Fuzzy inference
IDS
Intrusion detection system
Snort

Access to Document

10.1109/CIT/IUCC/DASC/PICOM.2015.306

Cite this

Naik, N. (2015). Fuzzy inference based intrusion detection system: FI-Snort. In Proceedings - 13th IEEE International Conference on Dependable, Autonomic and Secure Computing (DASC), 2015 (pp. 2062-2067). Article 7363352 (Proceedings - Proceedings - 13th IEEE International Conference on Dependable, Autonomic and Secure Computing (DASC), 2015). IEEE. https://doi.org/10.1109/CIT/IUCC/DASC/PICOM.2015.306

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note = "Publisher Copyright: {\textcopyright} 2015 Crown. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; 15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015 ; Conference date: 26-10-2015 Through 28-10-2015",

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Naik, N 2015, Fuzzy inference based intrusion detection system: FI-Snort. in Proceedings - 13th IEEE International Conference on Dependable, Autonomic and Secure Computing (DASC), 2015., 7363352, Proceedings - Proceedings - 13th IEEE International Conference on Dependable, Autonomic and Secure Computing (DASC), 2015, IEEE, pp. 2062-2067, 15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015, Liverpool, United Kingdom, 26/10/15. https://doi.org/10.1109/CIT/IUCC/DASC/PICOM.2015.306

Fuzzy inference based intrusion detection system: FI-Snort. / Naik, Nitin.
Proceedings - 13th IEEE International Conference on Dependable, Autonomic and Secure Computing (DASC), 2015. IEEE, 2015. p. 2062-2067 7363352 (Proceedings - Proceedings - 13th IEEE International Conference on Dependable, Autonomic and Secure Computing (DASC), 2015).

Research output: Chapter in Book/Published conference output › Conference publication

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Naik N. Fuzzy inference based intrusion detection system: FI-Snort. In Proceedings - 13th IEEE International Conference on Dependable, Autonomic and Secure Computing (DASC), 2015. IEEE. 2015. p. 2062-2067. 7363352. (Proceedings - Proceedings - 13th IEEE International Conference on Dependable, Autonomic and Secure Computing (DASC), 2015). doi: 10.1109/CIT/IUCC/DASC/PICOM.2015.306

Fuzzy inference based intrusion detection system: FI-Snort

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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Cite this