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With the increased usage of Internet, network security attracts many researchers to propose various kinds of approaches. Data mining techniques are efficient to construct a reliable Intrusion Detection System. Classification is an essential task in data mining. In this paper, a new classification method is proposed to build an accurate and efficient classifier for intrusion detection. The new classification...
Because of the increasing reliance on the Internet and its worldwide connectivity, Intrusion Detection System (IDS) has attracted the attention of many researchers to strengthen the Internet security. In the field of IDS, anomaly detection still is not a mature technology yet compared with misuse detection. In this paper, a classification model (called Distance-based Classification Model) is improved,...
Evolutionary algorithms for data mining have recently received increased attention due to their performance of the global search. Genetic Network Programming(GNP) has been proposed in recent years as one of the evolutionary algorithms and applied to data mining successfully, because of the prominent representation ability with the compact program derived from the directed graph structure and node...
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