Research on Anomaly Intrusion Detection Based on Rough Set Attribute Reduction

【摘要】：With growing amount of network information flowing, the limitations of the traditional network IDSs are more and more outstanding, it couldn't adapt to the trend of increasing novel network attacks and data quantity. Rough Set's reduction theory can effectively avoid redundancy, reduce the extra attributes in the large information. In order to find the novel attacks in IDSs, this paper presents the method of how to measure distance with rough set theory, and the results show that it is efficient to find anomaly.