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THE DEVELOPMENT OF INTERNET TRAFFIC MODELS TO PREDICT NETWORK BEHAVIOR AND DETECT MALICIOUS CYBER ACTIVITY

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dc.contributor.advisorKornhauser, Alain
dc.contributor.authorGarvey, Matthew
dc.date.accessioned2015-07-28T19:07:58Z
dc.date.accessioned2026-09-30T00:04:15Z
dc.date.available2015-07-28T19:07:58Z
dc.date.available2026-09-30T00:04:15Z
dc.date.created2015-04-13
dc.date.issued2015-07-28
dc.description.abstractIn collaboration with the company NIKSUN located in Princeton, NJ, models have been developed for performing k-step ahead predictions of utilization rates associated with first flow and then packet utilization. Using both the models developed and the invariants discovered during the modeling process, methodologies for performing anomaly detection are proposed. Further suggestions for research are also proposed.en_US
dc.format.extent107 pages*
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/dsp01ww72bd878
dc.identifier.urihttps://theses-dissertations.princeton.edu/handle/88435/dsp01ww72bd878
dc.language.isoen_USen_US
dc.titleTHE DEVELOPMENT OF INTERNET TRAFFIC MODELS TO PREDICT NETWORK BEHAVIOR AND DETECT MALICIOUS CYBER ACTIVITYen_US
dc.typePrinceton University Senior Theses
dspace.entity.typePublication
pu.date.classyear2015en_US
pu.departmentOperations Research and Financial Engineeringen_US
pu.pdf.coverpageSeniorThesisCoverPage

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