![]() To implement and measure the performance of our system we used the KDD99 benchmark dataset and obtained reasonable detection rate. The key ideas are to use data mining techniques efficiently for intrusion attack classification. This paper evaluates performance of well known classification algorithms for attack classification. Classification is identified as an important technique of data mining. Mining approach can play very important role in developing intrusion detection system. Intrusion Detection Systems (IDSs) have become an efficient defense tool against network attacks since they allow network administrator to detect policy violations. These attacks make network resources unavailable for legitimate users which results in massive loss of data, resources and money.Significance of Intrusion detection system (IDS) in computer network security well proven. Description of the German credit dataset. It is an important issue to detect the intrusion attacks for the security of network communication.Denial of Service (DoS) attacks is evolving continuously. Preprocessing N99A49G70E68S51H Data Mining using WEKA 3 SWETHA INSTITUTE OF TECHNOLOGY AND SCIENCE ::TIRUATI. In today's interconnected world, one of pervasive issue is how to protect system from intrusion based security attacks.
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