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dc.contributor.advisorStuart Madnick and Allen Moulton.en_US
dc.contributor.authorKhan, Shaharyar,S.M.Massachusetts Institute of Technology.en_US
dc.contributor.otherMassachusetts Institute of Technology. Engineering and Management Program.en_US
dc.contributor.otherSystem Design and Management Program.en_US
dc.date.accessioned2019-10-04T21:34:37Z
dc.date.available2019-10-04T21:34:37Z
dc.date.copyright2019en_US
dc.date.issued2019en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/122437
dc.descriptionThesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, System Design and Management Program, 2019en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 123-128).en_US
dc.description.abstractRecent cyber-physical attacks, such as Stuxnet, Triton etc., have invoked an ominous realization about the lethality of such attacks and the vulnerability of critical infrastructure, including power, gas and water distribution control systems. The traditional industrial practice to enhance security posture by utilizing IT security-biased protection methods narrowly focuses on improving cyber hygiene and individual component protection. Albeit essential and a good countermeasure against indiscriminate, non-targeted attacks, the reality of modern industrial control systems is that they are highly complex, interdependent and software-intensive sociotechnical systems. This makes traditional methods of defense largely impotent in the face of targeted attacks by advanced cyber-adversaries - as was demonstrated by Stuxnet.en_US
dc.description.abstractA new realization is aggressively permeating through the industry about the need to use a holistic approach that integrates safety and security considerations to rethink, reengineer and redesign these complex control systems. System-Theoretic Accident Model & Processes (STAMP) offers a powerful, holistic, structured framework to analyze safety and security of complex cyber-physical systems in an integrated fashion. The electric grid is universally acknowledged as the holy grail of a target for an advanced cyberadversary. In light of this, this work demonstrates the use of a STAMP-based analysis method on the electric generation and distribution system of the MIT central utilities plant. The analysis is presented in a robust and structured format which can be emulated to analyze larger systems.en_US
dc.description.abstractSeveral hazardous control actions such as out-of-sync breaker closure, generator overfluxing, turbine overspeed etc., are identified which could be exploited to cause permanent physical damage to the plant. While traditional counter-measures exist, it is argued that they need to be rethought in the face of potential cyber-attacks by advanced adversaries. Finally, several new functional requirements are presented which do not only span individual technical components but also the broader socio-organizational system.en_US
dc.description.statementofresponsibilityby Shaharyar Khan.en_US
dc.format.extent129 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectEngineering and Management Program.en_US
dc.subjectSystem Design and Management Program.en_US
dc.titleUsing a system-theoretic approach to identify cyber- vulnerabilities and mitigations in industrial control systemsen_US
dc.typeThesisen_US
dc.description.degreeS.M. in Engineering and Managementen_US
dc.contributor.departmentMassachusetts Institute of Technology. Engineering and Management Programen_US
dc.identifier.oclc1120724236en_US
dc.description.collectionS.M.inEngineeringandManagement Massachusetts Institute of Technology, System Design and Management Programen_US
dspace.imported2019-10-04T21:34:34Zen_US
mit.thesis.degreeMasteren_US
mit.thesis.departmentSysDesen_US


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