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This paper proposes a novel anomaly detection method of network worms. The algorithm detects unknown worms by multidimensional worm abnormal detection technology, extracts its feature string via analyzing worm data with leap-style and creates new rules to detect the corresponding worm in case that the unknown worm attacks again. The paper has realized the automatic detection of unknown worms. Experiment...
Mutual information (MI) has obvious potential for feature selection, but this has not been fully exploited in the past. In order to make numerical computation easier and more accurate, the MI of the whole multi-dimensional data can be decomposed into an amount of one-dimensional MI and one-dimensional conditional MI components. This paper reveals that using one-dimensional MI components to replace...
The automatic text classification method aims to assign text files to one or more predefined categories according to the text information contained by all kinds of text format files. SVM is recognized as one of the most effective text classification methods for its high accuracy, but its black-box feature causes that the description of each category can not be given and explained. In this paper, a...
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