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Research Of IDS Based On Combinatorial Analysis

Posted on:2006-05-03Degree:MasterType:Thesis
Country:ChinaCandidate:X WangFull Text:PDF
GTID:2178360182473451Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
Nowdays,with the development of the network technologies,network security became important more and more.Intrusion detection became an essential component of critical infrastructure protection method . But accumulated data are expoentinal incresing,traditinal Intrusion detection technology can not complete this task. How to take out the available information from the abundant data,which is becoming to be important for Intrusion Detection System. To improve the ability of Intrusion Detection System,this paper bring out a distributed Autonomous Agent Intrusion Detection System model.Intrduce the structure and function of the model.Put forward to some schemes to improve the IDS capability through analysing the general character of IDS. Data Minning is getting the potential and useful information from mass of data. By study the Association Rules and Clustering Analysis,this paper bring out some modified Data Mining algorithms.the experiments showed that the modify is approved.
Keywords/Search Tags:Intrusion Detection, Data Mining, Association Rules, Clustering Analysis, combinatorial analysis
PDF Full Text Request
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