A new approach to intrusion detection in databases by using artificial neuro fuzzy inference system
by Anitarani Brahma; Suvasini Panigrahi
International Journal of Reasoning-based Intelligent Systems (IJRIS), Vol. 7, No. 3/4, 2015

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.

Online publication date: Mon, 09-Nov-2015

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