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To Solve the problem of low accuracy and high false alarm, a construction method of Bagging ensemble based on random subspace PCA (Principle Component Analysis) was proposed. To create a training data for a base classifier, the feature set is randomly split into several subsets and PCA is applied to each subset. all principal components are retained to keep the variety information in the data; To...
Most of current products and models are poor at detecting novel attacks without an acceptable level of accuracy or false alarms. In order to figure out this problem, a network based intrusion detection system has been established, and many up-to-date attack tools are used to attack the network. On the basis of the intrusion experiment, 29 variables are chosen as intrusion features to characterize...
For least squares support vector machines (LS-SVM) based intrusion detection method, there is a big obstacle that the amount of audit data for modelling is very large even for a small network scale, so it's impractical to directly train LS-SVM using original training datasets. Furthermore, LS-SVM adopts equality constraints and squared functions, which leads to solve an easy-to-compute linear system,...
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