Intrusion Detection System by using K-Means clustering, C 4.5, FNN, SVM classifier
Security of Information is one of the cornerstones of Information Society. As number of Network attacks have increased over the past few years, Intrusion Detection System (IDS) is increasingly becoming a critical component to protect the network. In recent years, many researchers are using data mining techniques for building IDS. One of the main challenges in the security management of large-scale high-speed networks is the detection of suspicious anomalies in network traffic patterns due to Distributed Denial of Service (DDoS) attacks or worm propagation.
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