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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...
A generic test process should support all approaches "formal to informal" and mixed approaches within, and across, all test levels. But widely-accepted formal approaches, from current standards, certification syllabi and tools, have explicitly-defined test cases as the key underlying entity: not all real-life approaches use explicit test cases. Also, testing is maturing beyond merely "finding...
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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