dc.contributor.author | Choucri, Nazli | |
dc.contributor.author | Agarwal, Gaurav | |
dc.date.accessioned | 2022-04-07T14:55:33Z | |
dc.date.available | 2022-04-07T14:55:33Z | |
dc.date.issued | 2017-04-25 | |
dc.identifier.uri | https://doi.org/10.1109/THS.2017.7943512 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/141738 | |
dc.description.abstract | Guidelines, directives, and policy statements are usually presented in “linear” text form – word after word, page after page. However necessary, this practice impedes full understanding, obscures feedback dynamics, hides mutual dependencies and cascading effects and the like, -- even when augmented with tables and diagrams. The net result is often a checklist response as an end in itself. All this creates barriers to intended realization of guidelines and undermines potential effectiveness. We present a solution strategy using text as “data”, transforming text into a structured model, and generate a network views of the text(s), that we then can use for vulnerability mapping, risk assessments and control point analysis. We apply this approach using two NIST reports on cybersecurity of smart grid, more than 600 pages of text. Here we provide a synopsis of approach, methods, and tools. (Elsewhere we consider (a) system-wide level, (b) aviation e- landscape, (c) electric vehicles, and (d) SCADA for smart grid). | en_US |
dc.description.sponsorship | This material is based on work supported by the MIT Political Science Department & U.S. Department of Defense. Any opinions, findings, conclusions or recommendations therein are those of the author(s) and do not necessarily reflect the views of the U.S. Department of Defense. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | © IEEE | en_US |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
dc.title | Analytics for Smart Grid Cybersecurity | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Choucri, N., & Agarwal, G. (2017). Analytics for smart grid cybersecurity. Proceedings of the 2017 IEEE International Symposium on Technologies for Homeland Security (HST), 1–3. | en_US |
dc.eprint.version | Author's final manuscript. | en_US |