Anonymous is one of the most important security properties for kinds of Internet applications. In this paper, we consider the privacy-preserving problem in the context of public key broadcast encryption. We provide a ...
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In order to overcome the shortcoming of the static threshold and the problem of the false reports, the method of double filtering topic tracking based on Kullback-Leibler divergence is put forward. In this method, it ...
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In order to overcome the shortcoming of the static threshold and the problem of the false reports, the method of double filtering topic tracking based on Kullback-Leibler divergence is put forward. In this method, it uses the KL divergence to obtain the initial threshold and the candidate reports. Then, depending on the time characteristics of reports, it studies dynamic threshold method. Finally, it extracts named entities of the reports to calculate similarity of named entities, which completes topic tracking. The experiments prove the feasibility of the algorithm and improves the efficiency of the topic tracking to a certain extent. In addition, it reduces the false negative rate and the false alarm rate.
In this paper, we propose Weighting Inter-class Separating Fuzzy Clustering (WISFC) algorithm and employ it to content-based image retrieval (CBIR). Firstly, the training data set is clustered by k-means algorithm. Th...
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In order to prolong the lifetime of wireless sensor networks, we propose a distributed energy-effcient unequal clustering routing protocol (DEU). DEU combines uneven clustering and multi-hop routing mechanism. In orde...
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Web link structure has attracted great attention in web spam detection. In this paper, we modify the SVM classifier by exploiting web link structure. We firstly construct the link structure preserving within-class sca...
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In this paper, we proposed a novel web spam detection method aided by bi-directional information feedback. In our opinion, each webpage has its two sides: the positive side trended to the reputable page, and the negat...
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Attribute based access control model has advantages of high flexibility and scalability. However, at the same time, the problem of policy conflict detection and resolution also becomes hard to solve. To solve this pro...
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Classification conducted by Support vector machines (SVMs) is determined by a hyperplane. In this paper, we present a novel algorithm named MultiSphere Support Vector Machine (MSSVM) for classification problems. Diffe...
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We propose a new approach to learn the automatic image annotation for image retrieval. A generation model for the annotated images is formalized, and all the images are divided into different regions based on the visu...
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Web spam detection is a challenging problem while there're two distinct views of web spam dataset, content view and link view. We tackle this problem by taking the different formulations and statistical properties...
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