Data Mining for Intrusion Detection
نویسندگان
چکیده
Increasing network intrusion becoming crucial problem in security infrastructures. Data mining techniques have been successfully applied in many different fields including insolvency prediction, churn prediction, marketing, process control, fraud detection, and network management. Today number of research projects is using data mining for intrusion detection system (IDS) and prevention. The goal of intrusion detection is to identify entities attempting to subvert in-place security controls. In this paper, we are mostly focused on data mining techniques that are being used for such purposes.
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تاریخ انتشار 2011