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High Speed Network Intrusion Detection Research Based On Data Stream Mining

Posted on:2009-04-05Degree:MasterType:Thesis
Country:ChinaCandidate:L QinFull Text:PDF
GTID:2178360242986871Subject:Computer software and theory
Abstract/Summary:PDF Full Text Request
With the continuous development of the network technology, high speed network was come forth, the issue of network security also will be changed even more conspicuous. Traditional network intrusion detection technology limitations has become increasingly clear, has been unable to adapt to the new network endless attacks and the growing volume of data and trends. Data stream mining technology is a kind of high-dimensional, dynamic changes in the flow of a large number of new data mining methods, the use of such data to the limited space to deal with rapid access to useful information known as data mining areas now a research focus . As high-speed data network with dynamic changes, a large quantity of data, high dimension of these characteristics, data stream mining technology can be very good to complete high-speed network intrusion detection and data analysis tasks, thus ensuring network intrusion detection system real-time and correct , as well as ways to face the unknown time of the invasion of detection capabilities.
Keywords/Search Tags:Data Stream Mining, Intrusion detection, feature selection
PDF Full Text Request
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