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dc.contributor.advisorMichael Siegel.en_US
dc.contributor.authorBhamidipati, Sravya(Sravya M.)en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2020-03-24T15:35:33Z
dc.date.available2020-03-24T15:35:33Z
dc.date.copyright2019en_US
dc.date.issued2019en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/124233
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.descriptionThesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019en_US
dc.descriptionCataloged from student-submitted PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 63-71).en_US
dc.description.abstractAs technology's societal influence continues to grow, cyber risk management is becoming a serious priority. Individuals are putting their important assets and personal data, such as social security numbers, passwords, medical history, and more into the cloud. As a result, security breaches pose a drastic threat. To properly address this, rigorous risk management needs to be in place, and it is a well-known adage that you can not manage what you can not measure. This thesis first shows that there is room in the industry for better quantitative cyber risk measurement and then provides an assessment of current players that are trying to approach this issue. As one solution to the problem, a Failure Modes and Effects Analysis is performed on well-known cybersecurity breaches to provide common failure modes, causes, and effects within an organization. Cyber risk must be evaluated quantitatively in order to effectively approach it.en_US
dc.description.statementofresponsibilityby Sravya Bhamidipati.en_US
dc.format.extent71 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.titleExamining approaches to quantifying cyber risk for improved cybersecurity managementen_US
dc.typeThesisen_US
dc.description.degreeM. Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.identifier.oclc1144933199en_US
dc.description.collectionM.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Scienceen_US
dspace.imported2020-03-24T15:35:32Zen_US
mit.thesis.degreeMasteren_US
mit.thesis.departmentEECSen_US


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