Using Semantic Web Technologies to Develop Intrinsically Resilient Energy Control Systems
Frederick T. Sheldon, Jingshan Huang, Jiangbo Dang, Daniel Fetzer, David O. Manz, Thomas H. Morris, Wei Yu Dong, Jonathan Kirsch · 2012
Abstract—To preserve critical energy control functions while under attack, it is necessary to perform comprehensive analysis on root causes and impacts of cyber intrusions without sacrificing the availability of energy delivery. We propose to design an intrinsically resilient energy control system where we extensively utilize Semantic Web technologies, which play critical roles in knowledge representation and acquisition. While our ultimate goal is to ensure availability/resiliency of energy delivery functions and the capability to assess root causes and impacts of cyber intrusions, the focus of this paper is to demonstrate a proof of concept of how Semantic Web technologies can significantly contribute to resilient energy control systems. Index Terms—cybersecurity, energy control system, ontology, knowledge base, semantic annotation, data integration. I.