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

被引:0
|
作者
Department of Computer Science and Engineering and IT, Veer Surendra Sai University of Technology, Burla, Odisha, India [1 ]
机构
[1] Department of Computer Science and Engineering and IT, Veer Surendra Sai University of Technology, Burla, Odisha
来源
Int. J. Reasoning based Intell. Syst. | / 3-4卷 / 254-260期
关键词
ANFIS; ANN; Artificial neural network; Artificial neuro fuzzy inference system; Database security; FIS; Fuzzy inference system; Intrusion detection;
D O I
10.1504/IJRIS.2015.072952
中图分类号
学科分类号
摘要
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. © 2015 Inderscience Enterprises Ltd.
引用
收藏
页码:254 / 260
页数:6
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