Visible to the public Analytics for Smart Grid Cybersecurity

TitleAnalytics for Smart Grid Cybersecurity
Publication TypeConference Paper
Year of Publication2017
AuthorsChoucri, N., Agarwal, G.
Conference Name2017 IEEE International Symposium on Technologies for Homeland Security (HST)
Keywordsaviation e-Iandscape, composability, Computer crime, control point analysis, Cyber-physical systems, electric vehicles, Human Behavior, human factors, linear text form, Metrics, National security, NIST reports, power engineering computing, power system security, pubcrawl, risk assessments, SCADA, Scalability, security of data, smart grid cybersecurity, Smart grids, smart power grids, structured text model, system of systems, system-wide level, text analysis, text analytics, vulnerability mapping

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).

Citation Keychoucri_analytics_2017