Analytics for Smart Grid Cybersecurity
Name
Choucri, Agarwal (2017) Analytics for smart grid cybersecurity.pdf
Description
Author's final manuscript.
Size
1.5 MB
Format
Adobe PDF
Checksum (MD5)
5f54900f91d231b283ea91c6c9a63828
Author(s)
Choucri, Nazli
Agarwal, Gaurav
Date Issued
April 25, 2017
Publisher
© IEEE
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.
Version
Author's final manuscript.
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).
Terms of Use
Attribution-NonCommercial-NoDerivs 3.0 United States
Persistent DSpace Link
