Visible to the public Enabling a Resilient and Self-healing PMU Infrastructure Using Centralized Network ControlConflict Detection Enabled

TitleEnabling a Resilient and Self-healing PMU Infrastructure Using Centralized Network Control
Publication TypeConference Paper
Year of Publication2018
AuthorsYangfend Qu, Illinois Institute of Technology, Xin Liu, Illinois Institute of Technology, Dong Jin, Illinois Institute of Technology, Yuan Hong, Illinois Institute of Technology, Chen Chen, Argonne National Laboratory
Conference Name2018 ACM International Workshop on Security in Software Defined Networks & Network Function Virtualization
Date PublishedMarch 2018
Conference LocationTempe, AZ
Keywords2018: July, Automated Synthesis Framework for Network Security and Resilience, cyber resilience and security, Cyber-physical systems, Internet of Things, Metrics, NSA SoS Lablets Materials, phasor measurement unit (PMU), Policy-Governed Secure Collaboration, power system observability, pubcrawl, Resiliency, Resilient Architectures, Scalability and Composability, science of security, Secure Control Systems, Smart Grid Privacy, Software-defined networking (SDN), UIUC

Many of the emerging wide-area monitoring protection and control (WAMPAC) applications in modern electrical grids rely heavily on the availability and integrity of widespread phasor measurement unit (PMU) data. Therefore, it is critical to protect PMU networks against growing cyber-attacks and system faults. In this paper, we present a self-healing PMU network design that considers both power system observability and communication network characteristics. Our design utilizes centralized network control, such as the emerging software-defined networking (SDN) technology, to design resilient network self-healing algorithms against cyber-attacks. Upon detection of a cyber-attack, the PMU network can reconfigure itself to isolate compromised devices and re-route measurement
data with the goal of preserving the power system observability. We have developed a proof-of-concept system in a container-based network testbed using integer linear programming to solve a graphbased PMU system model.We also evaluate the system performance regarding the self-healing plan generation and installation using the IEEE 30-bus system.

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Enabling a Resilient and Self-healing PMU Infrastructure Using Centralized Network Control