TY - GEN
T1 - Toward Automated Enforcement of Cyber-Physical Security Requirements for Energy Delivery Systems
AU - Rubio-Medrano, Carlos E.
AU - Zhao, Ziming
AU - Ahn, Gail Joon
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/10
Y1 - 2020/10
N2 - The innovation and advances in power delivery and information technologies are bringing unmatched changes to energy delivery systems (EDS), automating the management and administration of mission-critical infrastructures, such as the power grid, the oil, and gas industries. While the benefits of these changes are unparalleled, cyberattacks at EDS are also at unprecedented levels, which may lead to consequences ranging from power outages to homeland security breaches. To securely connect and integrate large quantities of these components, the energy community has proposed roadmaps to update the way to plan and operate EDS. These roadmaps come with security requirements that specify the best practices along with regulations EDS and utility should comply with. However, there is a huge gap between these requirements and the actual enforcement. In this paper, we envision a framework that automates the security requirement enforcement so that natural language policies can be enforced without human intervention and with high confidence.
AB - The innovation and advances in power delivery and information technologies are bringing unmatched changes to energy delivery systems (EDS), automating the management and administration of mission-critical infrastructures, such as the power grid, the oil, and gas industries. While the benefits of these changes are unparalleled, cyberattacks at EDS are also at unprecedented levels, which may lead to consequences ranging from power outages to homeland security breaches. To securely connect and integrate large quantities of these components, the energy community has proposed roadmaps to update the way to plan and operate EDS. These roadmaps come with security requirements that specify the best practices along with regulations EDS and utility should comply with. However, there is a huge gap between these requirements and the actual enforcement. In this paper, we envision a framework that automates the security requirement enforcement so that natural language policies can be enforced without human intervention and with high confidence.
KW - automated requirement enforcement
KW - energy delivery systems
KW - ontologies
UR - http://www.scopus.com/inward/record.url?scp=85100413017&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85100413017&partnerID=8YFLogxK
U2 - 10.1109/TPS-ISA50397.2020.00048
DO - 10.1109/TPS-ISA50397.2020.00048
M3 - Conference contribution
AN - SCOPUS:85100413017
T3 - Proceedings - 2020 2nd IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications, TPS-ISA 2020
SP - 319
EP - 322
BT - Proceedings - 2020 2nd IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications, TPS-ISA 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications, TPS-ISA 2020
Y2 - 1 December 2020 through 3 December 2020
ER -