Visible to the public Cross-layer security framework for smart grid: Physical security layer

TitleCross-layer security framework for smart grid: Physical security layer
Publication TypeConference Paper
Year of Publication2014
AuthorsFarag, M.M., Azab, M., Mokhtar, B.
Conference NameInnovative Smart Grid Technologies Conference Europe (ISGT-Europe), 2014 IEEE PES
Date PublishedOct
Keywordsconceptual layering model, control systems, cooperative real-time security system, Cross-Layer Security, cross-layer security framework, CyNetPhy PSL resolution, Hardware, hardware Trojan threat, Hidden Markov models, isolated security tool, Monitoring, PCS, physical layer security, physical security layer, power system security, predictive control, process control, Process Control Security, process control system, Smart grid, smart grid security, Smart grids, smart power grid cyber technology, smart power grids, Trojan horses
Abstract

Security is a major challenge preventing wide deployment of the smart grid technology. Typically, the classical power grid is protected with a set of isolated security tools applied to individual grid components and layers ignoring their cross-layer interaction. Such an approach does not address the smart grid security requirements because usually intricate attacks are cross-layer exploiting multiple vulnerabilities at various grid layers and domains. We advance a conceptual layering model of the smart grid and a high-level overview of a security framework, termed CyNetPhy, towards enabling cross-layer security of the smart grid. CyNetPhy tightly integrates and coordinates between three interrelated, and highly cooperative real-time security systems crossing section various layers of the grid cyber and physical domains to simultaneously address the grid's operational and security requirements. In this article, we present in detail the physical security layer (PSL) in CyNetPhy. We describe an attack scenario raising the emerging hardware Trojan threat in process control systems (PCSes) and its novel PSL resolution leveraging the model predictive control principles. Initial simulation results illustrate the feasibility and effectiveness of the PSL.

URLhttp://ieeexplore.ieee.org/document/7028963/
DOI10.1109/ISGTEurope.2014.7028963
Citation Key7028963