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dc.contributor.advisorHoward Shrobe.en_US
dc.contributor.authorCaldera, Carlos, M. Eng. Massachusetts Institute of Technologyen_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2018-12-11T20:38:13Z
dc.date.available2018-12-11T20:38:13Z
dc.date.copyright2017en_US
dc.date.issued2017en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/119512
dc.descriptionThesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.en_US
dc.descriptionThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.en_US
dc.descriptionCataloged from student-submitted PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 73-77).en_US
dc.description.abstractThe growing frequency and scale of cyber security attacks is daunting. Notable areas of concern are the Internet of Things (IoT) and Operational Technology (OT) systems; the IoT is becoming intimately integrated into our lives, and the physical repercussions of attacks on OT systems can be devastating. Risk analysis tools can prove to be very helpful towards defining counter measures that can either prevent or dampen the effect of these seemingly inevitable cyber security attacks. One such tool, attack trees, provide a formal way of describing the varying attacks that could be mounted against a system. Though they are limited because their development is time intensive, work has been done on automating this process with attack tree generators. In this thesis, we provide suggested design modifications to be made on existing attack tree generators to work on IoT and OT systems.en_US
dc.description.statementofresponsibilityby Carlos Caldera.en_US
dc.format.extent77 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.subjectElectrical Engineering and Computer Science.en_US
dc.titleTowards an automated attack tree generator for the IoTen_US
dc.typeThesisen_US
dc.description.degreeM. Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc1066344441en_US


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