Analyzing Information Security Issues Using Data Mining Techniques
Daniela Șchiopu, Irina Tudor · 2008
The field of information security has grown and developed significantly in recent years. Its concerns are: the confidentiality, integrity and availability of data with different presentation form (electronic, print, or other forms of information). Data mining can be applied to find relevant computer security information. In this paper we present data mining techniques used for intrusion detection. Data provided by National Vulnerability Database site represents the basic for our application and our goal is to demonstrate that we can identify appropriate and accurate classifiers to detect anomalies mediated by data mining methods. Association rules, decision trees and other classification methods represent an effective manner for our target. The authors aim to determine the appeared issue and to solve the information security vulnerabilities.