标题:Intrusion Detection Technique Based on the Grey Theory
作者:Gao Qun
通讯作者:Gao, Q
作者机构:[Gao Qun] Shandong Univ Technol, Sch Management, Zibo 255049, Peoples R China.
会议名称:International Conference on Management Science and Safety Engineering (MSSE 2010)
会议日期:AUG 06-08, 2010
来源:2010 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE AND SAFETY ENGINEERING (MSSE 2010), VOLS I AND II
出版年:2010
页码:576-579
关键词:Grey Theory; Intrusion Detection; Data Preprocessing; Reducing Algorithm
摘要:The detection technique is designed and equipped to ensure the security of the computer system, and to find and report the unauthorized and the abnormal phenomena of the system on time. It is a technique used to detect the behavior that goes against the security principle of the computer system. The author applies the grey theory to build a instrusion detection data based on GM(1,1)model to compensate the data preprocessing model, and an index reducing algorithm which is based on grey relation. They have some characteristics, such as a few samples, low complexity, easy procedural realization, and can solve the renewed samples quickly. We have had a demonstration analysis, which shows that these models can help to reduce the occupied system resources obviously, enhance the timeliness and accuracy, and reduce rate of undetected errors and false retrieval.
收录类别:CPCI-S
资源类型:会议论文
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