A study on appling statistic and discrete algorithm to elevate anomaly detection system

碩士 === 國立臺灣海洋大學 === 電機工程學系 === 96 === Two major topics are discussed in this thesis. The first topic is concerned with input data processing. In the Anomaly Detection System, the false positive will be reduced via the statistic analysis. The second topic is concerned with execution sequence. The par...

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Bibliographic Details
Main Authors: Kuo-Chang Lee, 李國彰
Other Authors: Hsuan-wei Huang
Format: Others
Language:zh-TW
Published: 2008
Online Access:http://ndltd.ncl.edu.tw/handle/86266685720495625049
Description
Summary:碩士 === 國立臺灣海洋大學 === 電機工程學系 === 96 === Two major topics are discussed in this thesis. The first topic is concerned with input data processing. In the Anomaly Detection System, the false positive will be reduced via the statistic analysis. The second topic is concerned with execution sequence. The partial/total time used and the task order generated by an execution sequence will be analyzed to find the abnormal actions. The major purpose of this thesis is to compensate the shortage of Signature based detection. Furthermore, the accuracy of abnormal detection will be increased.