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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...
With the rapid development of the Internet, Internet security is becoming an important problem recently. Therefore, many techniques for intrusion detection have been proposed to protect networks effectively. In this paper, a new classification model, named classification with average matching degree and gaussian function, is proposed and combined with the class association rule mining of Genetic Network...
In this paper, a dynamic traffic management model has been proposed to alleviate the traffic congestion and improve the efficiency of the traffic systems in global perspective. The proposed traffic management model is applied to the large scale microscopic simulator SOUND/4U based on the real world road network of Kurosaki, Kitakyushu in Japan. All the vehicles in the simulator follow the direction...
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,...
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