基于數(shù)據(jù)挖掘的入侵檢測系統(tǒng)在校園網(wǎng)中的應(yīng)用.pdf

1、河北科技大學碩士學位論文基于數(shù)據(jù)挖掘的入侵檢測系統(tǒng)在校園網(wǎng)中的應(yīng)用姓名：陳競藝申請學位級別：碩士專業(yè)：計算機技術(shù)指導教師：阮冬茹；孫西朝20110515AbstractjⅣithmecomi肌ousdevelopmentofnetworktechnology，manycollegesandmiversitiesareconductingc鋤pusinfo珊ationconstmction，followedbythecampusnetwo

2、rksecuritvisSuesbecomeincreasin百yimportantCan叩uSnetworkischaracterizedbvmeusertramcnow，111t鋤etalongt油e，onlinepenetrationrate證mehighcomplexityofne艄rorkapplications，causingmassiVeaccesst0aVanetyotseⅣersC鋤pusnetworksec謝tyis

3、sueshaSbecomeacannotbeignoredandthe1ettertoberes01vedissuesIn咖siondetectiontechn0109ysincemeeally20mcenmⅨ80haSbeenproposed，世er20yearsofcontinuousdevelopment舶mtheinitialideaofaV“uablestudyandsimplemeoreticallnodels，therap

4、iddeVelopmentofawideVarietyofpracticalprotot)，pe‘syStem，alldinthepast1OyearshaVe鋤ergcdinmanycommerCialiIltrllSiondetectionsyStemproducts，tobecomethefieldofcomputerse硎tyaIljIldispeIlsableimportantsec謝typrotectiontechnolog

5、yAtpresent，meelevantresearchareaofnetworksec戚tvhasbecomeahottopichlrecentyears，intnlsiondetectionsyStemsareinCreasin西ybeingusedinmene鉚orkt0eIlsurenetworksecuri吼HoweVer，thereiscurrentlvonthemarketofcommercialNIDS，mostlymo

6、recomdicated，moredimculttograSp’butalsomoreeXpensiveiIltennsofforthec鋤pusnet、ⅣorkcaIlnotbearThetopicsforthec鋤pusnetworkcharacteristicsandrequirementstodesi盟andconstmctanewdataminin分basedintmsiondetectionsystemSnortMainta

7、Sksip9lude：layoutofthec鋤puSnctworktoinstallSnortseⅣerandsoRware；accordingtoactualdemandtoconfigureintmsiondetectiodsystems；deVelopedentirelybaSedonmeSnortW曲applications；tllene帆orksecuritypfoblemsfacingtheSnortmlesetandad

8、dtothemlebaSe：DetectionIntrusionDetectionsyStemperf0衄anceDataminingtectmiquesappliedtointmsiondetectiontointmsiondetectionaSadataanalysisproceSs，usingdataminingtedmiquestobuildthesySt鋤featuresautomaticmode，toimprovetheac

9、curacyofintrusiondetectionsyStems，scalabilityandadaptabilityAnimprovedKMeanSalgorithmisusedtobuildclusteranalysismoduleplug’insandpredetectionengineplug—insKeywordsdataminillg；intmsiondetection：KMeansAlgorithm：Snort；camp