Sequence-based Anomaly Detection for Analyzing and Identifying Malicious Network Behavior

博士 === 國立臺灣科技大學 === 資訊工程系 === 99 === Malicious behaviors with similar intent or purpose often possess different data sequence patterns which increase the difficulty in malicious behavior identification. These data sequence variations originated from the following three sources: (1) the multiplicity...

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Bibliographic Details
Main Authors: Ching-Hao Mao, 毛敬豪
Other Authors: Hahn-Ming Lee
Format: Others
Language:en_US
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/52423721360737997609