Examining approaches to quantifying cyber risk for improved cybersecurity management
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2020
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| Online Access: | https://hdl.handle.net/1721.1/124233 |
| _version_ | 1826213623894114304 |
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| author | Bhamidipati, Sravya(Sravya M.) |
| author2 | Michael Siegel. |
| author_facet | Michael Siegel. Bhamidipati, Sravya(Sravya M.) |
| author_sort | Bhamidipati, Sravya(Sravya M.) |
| collection | MIT |
| description | This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. |
| first_indexed | 2024-09-23T15:52:13Z |
| format | Thesis |
| id | mit-1721.1/124233 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T15:52:13Z |
| publishDate | 2020 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1242332020-03-25T03:04:22Z Examining approaches to quantifying cyber risk for improved cybersecurity management Bhamidipati, Sravya(Sravya M.) Michael Siegel. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Electrical Engineering and Computer Science. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019 Cataloged from student-submitted PDF version of thesis. Includes bibliographical references (pages 63-71). As 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. by Sravya Bhamidipati. M. Eng. M.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science 2020-03-24T15:35:33Z 2020-03-24T15:35:33Z 2019 2019 Thesis https://hdl.handle.net/1721.1/124233 1144933199 eng MIT 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. http://dspace.mit.edu/handle/1721.1/7582 71 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Bhamidipati, Sravya(Sravya M.) Examining approaches to quantifying cyber risk for improved cybersecurity management |
| title | Examining approaches to quantifying cyber risk for improved cybersecurity management |
| title_full | Examining approaches to quantifying cyber risk for improved cybersecurity management |
| title_fullStr | Examining approaches to quantifying cyber risk for improved cybersecurity management |
| title_full_unstemmed | Examining approaches to quantifying cyber risk for improved cybersecurity management |
| title_short | Examining approaches to quantifying cyber risk for improved cybersecurity management |
| title_sort | examining approaches to quantifying cyber risk for improved cybersecurity management |
| topic | Electrical Engineering and Computer Science. |
| url | https://hdl.handle.net/1721.1/124233 |
| work_keys_str_mv | AT bhamidipatisravyasravyam examiningapproachestoquantifyingcyberriskforimprovedcybersecuritymanagement |