| Autor: |
Brahma, Anitarani, Panigrahi, Suvasini |
| Zdroj: |
International Journal of Reasoning-based Intelligent Systems; 2015, Vol. 7 Issue: 3-4 p254-260, 7p |
| Abstrakt: |
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. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
|
