Simulation modeling for cyber resilience
Identifying high-leverage intervention points to increase cyber resiliency—the ability to provide and maintain acceptable service levels in the face of challenges— requires identifying, integrating, and framing a diverse set of strategies that cut across boundaries of governments, corporation, non-p...
| Main Authors: | , |
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| Format: | Working Paper |
| Language: | en_US |
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© Massachusetts Institute of Technology
2022
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| Online Access: | https://hdl.handle.net/1721.1/141761 |
| _version_ | 1826213906464374784 |
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| author | Siegel, Michael Goldsmith, Daniel |
| author_facet | Siegel, Michael Goldsmith, Daniel |
| author_sort | Siegel, Michael |
| collection | MIT |
| description | Identifying high-leverage intervention points to increase cyber resiliency—the ability to provide and maintain acceptable service levels in the face of challenges— requires identifying, integrating, and framing a diverse set of strategies that cut across boundaries of governments, corporation, non-profits, and individuals. Drawing on a preliminary framework developed by Jonathan Zittrain, we identify several sources of corporate interventions and suggest possible trajectories for intervention effectiveness over time by utilizing simulation modeling. The overall goal of this research is to develop innovative management and operational approaches using experts, emerging data sets, policy analysis, and relevant theory, along with simulation-modeling, to enable real-world implementation of high-leverage opportunities to promote corporate resiliency to cyber threats. |
| first_indexed | 2024-09-23T15:56:43Z |
| format | Working Paper |
| id | mit-1721.1/141761 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T15:56:43Z |
| publishDate | 2022 |
| publisher | © Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1417612022-04-08T03:03:18Z Simulation modeling for cyber resilience Siegel, Michael Goldsmith, Daniel Identifying high-leverage intervention points to increase cyber resiliency—the ability to provide and maintain acceptable service levels in the face of challenges— requires identifying, integrating, and framing a diverse set of strategies that cut across boundaries of governments, corporation, non-profits, and individuals. Drawing on a preliminary framework developed by Jonathan Zittrain, we identify several sources of corporate interventions and suggest possible trajectories for intervention effectiveness over time by utilizing simulation modeling. The overall goal of this research is to develop innovative management and operational approaches using experts, emerging data sets, policy analysis, and relevant theory, along with simulation-modeling, to enable real-world implementation of high-leverage opportunities to promote corporate resiliency to cyber threats. This material is based on work supported by the U.S. Office of Naval Research, Grant No. N00014-09-1-0597. Any opinions, findings, conclusions or recommendations therein are those of the author(s) and do not necessarily reflect the views of the Office of Naval Research. 2022-04-07T17:46:43Z 2022-04-07T17:46:43Z 2010-10 Working Paper https://hdl.handle.net/1721.1/141761 Siegal, M., & Goldsmith, D. (2010). Simulation modeling for cyber resilience (ECIR Working Paper No. 2010-5). MIT Political Science Department. en_US ECIR Working Paper No. 2010-5 Attribution-NonCommercial-NoDerivs 3.0 United States http://creativecommons.org/licenses/by-nc-nd/3.0/us/ application/pdf © Massachusetts Institute of Technology |
| spellingShingle | Siegel, Michael Goldsmith, Daniel Simulation modeling for cyber resilience |
| title | Simulation modeling for cyber resilience |
| title_full | Simulation modeling for cyber resilience |
| title_fullStr | Simulation modeling for cyber resilience |
| title_full_unstemmed | Simulation modeling for cyber resilience |
| title_short | Simulation modeling for cyber resilience |
| title_sort | simulation modeling for cyber resilience |
| url | https://hdl.handle.net/1721.1/141761 |
| work_keys_str_mv | AT siegelmichael simulationmodelingforcyberresilience AT goldsmithdaniel simulationmodelingforcyberresilience |