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The 3 most important issues for anomaly detection based intrusion detection systems by using data mining methods are: feature selection, data value normalization, and the choice of data mining algorithms. In this paper, we study primarily the feature selection of network traffic and its impact on the detection rates. We use KDD CUP 1999 dataset as the sample for the study. We group the features of...
It is necessary to analyze the anti-terrorism performance of Taiwanpsilas security system after September 11, 2001 attacks. We use three stage data envelopment analysis model that Fried et al. (2002) developed, getting intelligence performance of the Investigation Bureau of the Ministry of Justice, to discuss the ability of anti-terrorism in Taiwanpsilas national security system. Putting 10 outputs,...
Too often projects deliver software of which the quality is difficult to predict. Sometimes the project completion is delayed due to the continuous change of requirements while the software is still being built. The quality level must align with the company needs. It is extremely important that the planned benefits of an IT system are reached. When the benefits are not achieved it will cause much...
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