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dc.contributor.advisorEl-Khatib, Khalil
dc.contributor.authorHayes, Garrett
dc.date.accessioned2018-01-12T16:29:51Z
dc.date.accessioned2022-03-29T17:39:20Z
dc.date.available2018-01-12T16:29:51Z
dc.date.available2022-03-29T17:39:20Z
dc.date.issued2014-04-01
dc.identifier.urihttps://hdl.handle.net/10155/889
dc.description.abstractA heavy focus has recently been placed on the current state of each country’s critical infrastructure security. Unfortunately, widely deployed supervisory control and data acquisition (SCADA) protocols provide little to no inherent security controls while traditional security mechanisms prove largely ineffective in industrial control environments. Moreover, the recent advent of advanced persistent threats (APTs) has highlighted the relative ineffectiveness of existing SCADA-centric security solutions. In this thesis I will identify various algorithmic strategies for detecting and mitigating common APT attack vectors impacting SCADA environments. Primarily, the integration of flow-based intrusion detection systems, passive device fingerprinting, low- interaction honeypots, and traditional signature- based intrusion detection technologies provides a highly effective capacity for detecting common attack vectors used by APTs. Finally I will show how the integration of these technologies into a single security solution has provided a verifiably robust and effective solution for the problem at hand.en
dc.description.sponsorshipUniversity of Ontario Institute of Technologyen
dc.language.isoenen
dc.subjectIndustrial control securityen
dc.subjectSCADA securityen
dc.subjectAdvanced persistent threatsen
dc.subjectIntrusion detectionen
dc.subjectIntrusion preventionen
dc.subjectCritical infrastructure securityen
dc.titleUsing detection in depth to counter SCADA-specific advanced persistent threatsen
dc.typeThesisen
dc.degree.levelMaster of Science (MSc)en
dc.degree.disciplineComputer Scienceen


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