Based On Data Mining Campus Network Traffic Monitoring And Analysis System Design And Implementation

With the development ofthe Internet, text, graphics, images, sound, represented by the increasingly richmultimedia information, people and efficientsearch and retrieval ofinformationhave become increasingly demanding. Whichinformation is alsoa geometricincreasein multiples, how to extractvaluable informationin the massofdata, which requires a verypowerful dataanalysis toolsto achieve thisaimto growthanks tolaterdata mining techniques. Data miningtechniquesand mathematical statistics, artificial intelligence andhigh performance databaseintegrationwhichenables it totap thevast amounts ofinformationunknown tothe networkdata stream, and is able toflow dataof knownand unknowntraffic dataclustering analysis, increasethe intelligence ofthesystem.Developmentof the campus networkhas becomea microcosm ofthe Internetdevelopment.With the continuousexpansion ofthe sizeofthe campus networkandthe increasingnumber of usersof students, the campus networkhas become animportant way forstudents to understand theexternal environmenthas becomeanimportant part ofstudents’ learningand life,and thereforethe security and stabilityof the campus networkto becomethe campusnetworkmanagersneed to solvetheproblem.During theoperation of the campusnetwork, the data flowof the campus networkinto normaland abnormalnetwork trafficnetwork traffic,network trafficanalysisnormalnormal stateof the campus networkcanhave a clearunderstanding ofthe analysisof network trafficanomaliescan be analyzedcampusnetworkwheresecurity threats, and then takeeffective securitymeasureswhenset. In thecampus networksecuritymanagement, campus networktraffic monitoring and analysisisanimportant part of thecampus networksecurity management, its other securitymanagement practicesguidingrole in providingimportant datafor decision-makingon the basis ofthe network administrator.Through the analysisofcommon networktraffic monitoringtechnology,combined withthe actual situation ofcollegenetworkis proposedcampus networktraffic monitoring and analysissystembased on data mining. Thetraffic monitoring systembased ondatabase technology, data mining technologyand computer programmingtechnology, throughthe collection ofnetwork data, standardized and stored in thedata warehouse.Withdata mining,data analysis moduleclusteringandclassification algorithmsto classifydata analysis. Finally,the analysis ofgood datasystem interfaceto querythe show.Abnormal datasystem canoccurin the networkwerealert, suggesting abnormalnetwork, the network administratorcanhappentimely and effective treatmentnetwork.In addition, the network administrator cancheckthe detailed dataof normalnetwork trafficdetailsand abnormalnetwork traffic, networkadministratorfor the campusto provide datasupport for thecampus networkupgrades andmaintenance.The authorisengagedinthe XinjiangInstitute of Education,Engineering,andnetwork managementin the hopethat through this researchstudy ofthe campus networktraffic monitoringto makesome contribution. The main workin the followingareas:1, onthe campus networktraffic monitoringat home and abroadwere analyzed2, thecollegecampusnetworkandcommonnetworkmonitoring technologyoverview3, analysis oftherelevant principlesof data mininganddatamining applicationscreativecampus networktrafficmonitoringandanalysiswas carried out.4, theanalysis of thesystem applicationsand development environments, proposed a design schemebased onMicrosoft Visual studio 2008 system. Andsystem objectivesand user needsfor a detailedanalysis.5, the lastpaper designbased on data miningcampusnetwork trafficmonitoring and analysis system, and ithas beenthe practice ofanalysis.