Title: A new approach to intrusion detection in databases by using artificial neuro fuzzy inference system

Authors: Anitarani Brahma; Suvasini Panigrahi

Addresses: Department of Computer Science and Engineering and IT, Veer Surendra Sai University of Technology, Burla, Odisha, India ' Department of Computer Science and Engineering and IT, Veer Surendra Sai University of Technology, Burla, Odisha, India

Abstract: In this modern era of internet, security of data has become a primary concern due to exposure of databases on the web. The present study approaches the problem of database intrusion detection from a pattern recognition point of view, where artificial neuro fuzzy inference system (ANFIS) is used to capture user behavioural patterns. In this paper, we have proposed a database intrusion detection system using ANFIS as a classifier that is capable of outperforming in many ways and better suits the demands and dynamic nature of the problem. The proposed approach to intrusion detection gives a better detection rate and lowers the false positive rate compared to other traditional techniques.

Keywords: database security; intrusion detection; artificial neural networks; ANNs; fuzzy logic; adaptive neuro fuzzy inference system; ANFIS; user behaviour.

DOI: 10.1504/IJRIS.2015.072952

International Journal of Reasoning-based Intelligent Systems, 2015 Vol.7 No.3/4, pp.254 - 260

Received: 08 Dec 2014
Accepted: 20 May 2015
Published online: 09 Nov 2015 *

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