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A novel adaptive, multi-channel, tree-structure wavelets transform is introduced in this paper. Its high efficiency of texture classification, global evaluation and feature extraction is illustrated by the experiment at end of this paper. It can achieve good application results in real application.
Network Security Situational Awareness(NSSA) has been a hot research in the network security domain.The amount of data from network attacks from Intrusion Detection System (IDS),and hosts'vulnerabilities and the hosts'states is very large.If we use the large amount of data as the NSSA elements directly,the algorithm of data processing must collapse or use a very long time. So in this paper,a method...
Digital rights management (DRM) system is the effective schemes for digital transactions. A novel authentication scheme of DRM system for remote users based on multimodal biometrics (such as iris and face feature) verification and watermarking and smart cards is described in this paper, which include two authentication phases, i.e. the client server authentication and the server authentication. For...
This thesis puts forward a method of CRFs (Conditional Random Fields) based on feature sets in network intrusion detection. This method takes advantages of the CRFs models which can stitch to sequence data marking and add random attributes. It uses varied connection information and its relativity in network connection information data sequence as well as the feature sets relativity to attack detection...
In many cases, data are represented as high dimensional feature vectors. It makes the feature selection necessary to reduce the computational burden, improve the generalization ability and the interpretability. In this paper, we present a novel feature selection method which is named least squares support feature machine (LS-SFM). In comparison with SVM and LS-SVM, this method has two outstanding...
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