Policy Analytics for Cybersecurity of Cyber-Physical Systems
Cyber-physical systems (CPS) are embedded in an increasingly complex ecosystem of cybersecurity policies, guidelines, and compliance measures designed to support all aspects of operation during all phases of system’s life cycle. By definition, such guidelines and policies are written in linear and s...
| Main Authors: | , |
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| Format: | Working Paper |
| Language: | English |
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© MIT Political Science Department
2022
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| Online Access: | https://hdl.handle.net/1721.1/146917 https://cps-vo.org/VU_AnalyticsforCPS-Cybersecurity |
| _version_ | 1826198836089978880 |
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| author | Choucri, Nazli Agarwal, Gaurav |
| author_facet | Choucri, Nazli Agarwal, Gaurav |
| author_sort | Choucri, Nazli |
| collection | MIT |
| description | Cyber-physical systems (CPS) are embedded in an increasingly complex ecosystem of cybersecurity policies, guidelines, and compliance measures designed to support all aspects of operation during all phases of system’s life cycle. By definition, such guidelines and policies are written in linear and sequential text form—word after word—often with different directives parts presented in different documents. This situation makes it difficult to integrate or understand policy-technology-security interactions. As a result, it also impedes effective risk assessment. Individually or collectively, these features inevitably undermine initiatives for cybersecurity. Missing are fundamental policy analytics to support CPS cybersecurity and facilitate policy implementation. This project is designed to develop a set of text-to-analytics methods and tools—for policy directives and for CPS properties—and provide a “proof of concept” focused on the smart grid of electric power systems. |
| first_indexed | 2024-09-23T11:10:43Z |
| format | Working Paper |
| id | mit-1721.1/146917 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T11:10:43Z |
| publishDate | 2022 |
| publisher | © MIT Political Science Department |
| record_format | dspace |
| spelling | mit-1721.1/1469172022-12-22T02:17:44Z Policy Analytics for Cybersecurity of Cyber-Physical Systems Choucri, Nazli Agarwal, Gaurav Science of Security & Privacy National Security Agency cybersecurity cyber-physical systems NIST smart grid cybersecurity NIST cybersecurity framework NIST SP 800:53 policy analysis design structure matrix network analysis graph theory Cyber-physical systems (CPS) are embedded in an increasingly complex ecosystem of cybersecurity policies, guidelines, and compliance measures designed to support all aspects of operation during all phases of system’s life cycle. By definition, such guidelines and policies are written in linear and sequential text form—word after word—often with different directives parts presented in different documents. This situation makes it difficult to integrate or understand policy-technology-security interactions. As a result, it also impedes effective risk assessment. Individually or collectively, these features inevitably undermine initiatives for cybersecurity. Missing are fundamental policy analytics to support CPS cybersecurity and facilitate policy implementation. This project is designed to develop a set of text-to-analytics methods and tools—for policy directives and for CPS properties—and provide a “proof of concept” focused on the smart grid of electric power systems. This material is based on work supported by the U.S. Department of Defense for National Security Agency, Science of Security & Privacy Program under Grant No. H98230-18-D-00-0010. Any opinions, findings, conclusions or recommendations therein are those of the author(s) and do not necessarily reflect the views of the US Department of Defense 2022-12-21T08:49:34Z 2022-12-21T08:49:34Z 2022-12-14 Working Paper https://hdl.handle.net/1721.1/146917 https://cps-vo.org/VU_AnalyticsforCPS-Cybersecurity Choucri, N., & Agarwal, G. (2022). Policy analytics for cybersecurity of cyber-physical systems: Project summary. MIT Political Science Department. en © MIT Political Science Department |
| spellingShingle | Science of Security & Privacy National Security Agency cybersecurity cyber-physical systems NIST smart grid cybersecurity NIST cybersecurity framework NIST SP 800:53 policy analysis design structure matrix network analysis graph theory Choucri, Nazli Agarwal, Gaurav Policy Analytics for Cybersecurity of Cyber-Physical Systems |
| title | Policy Analytics for Cybersecurity of Cyber-Physical Systems |
| title_full | Policy Analytics for Cybersecurity of Cyber-Physical Systems |
| title_fullStr | Policy Analytics for Cybersecurity of Cyber-Physical Systems |
| title_full_unstemmed | Policy Analytics for Cybersecurity of Cyber-Physical Systems |
| title_short | Policy Analytics for Cybersecurity of Cyber-Physical Systems |
| title_sort | policy analytics for cybersecurity of cyber physical systems |
| topic | Science of Security & Privacy National Security Agency cybersecurity cyber-physical systems NIST smart grid cybersecurity NIST cybersecurity framework NIST SP 800:53 policy analysis design structure matrix network analysis graph theory |
| url | https://hdl.handle.net/1721.1/146917 https://cps-vo.org/VU_AnalyticsforCPS-Cybersecurity |
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