Role of Soft Outlier Analysis in Database Intrusion Detection

Abstract

With the rapid development of World Wide Web and E-commerce, concern of security is a very sensitive issue in this modern era of information and communication technology. A lot of financial and brain effort has been invested in this problem and still requires serious attention due to the increasing threats. Database centered Intrusion Detection is a prominent field in this research circumference. Concept of outlier analysis in data mining can automate this intrusion detection process with higher accuracy. In this research, we present the role of soft outlier analysis in Database-centered Intrusion Detection while comparing its performance with its counterpart hard outlier analysis which ultimately enhances its productivity by improving the accuracy and reducing the false positive costs.