Date of Graduation
12-2025
Document Type
Dissertation
Degree Name
Doctor of Philosophy in Computer Science (PhD)
Degree Level
Graduate
Department
Computer Science & Computer Engineering
Advisor/Mentor
Jin, Kevin
Committee Member
Farnell, Chris
Second Committee Member
Wu, Jingxian
Third Committee Member
Li, Qinghua
Keywords
Cybersecurity; Internet of things; Phasor Measurement Unit Networks; Programmable network
Abstract
The security and resilience of smart grids are critical for ensuring reliable and stable power delivery. As modern power systems evolve to incorporate more advanced sensing and control capabilities, Phasor Measurement Units (PMUs) have become an important source of high-frequency, time-synchronized measurements that support wide-area monitoring, control, and protection. However, the growing complexity of smart grids and their reliance on real-time communication expose them to a range of cyber threats, including data loss, tampering, and coordinated attacks. This dissertation explores the use of programmable network technologies, particularly P4-based programmable switches, to provide in-network solutions that enhance the reliability and security of PMU data streams. These switches allow fine-grained control of the data plane, enabling real-time traffic inspection, flexible processing, and integration with existing infrastructure. The work demonstrates how P4 can be used not only to detect and respond to anomalies, but also to support resilient operation through localized processing and decisionmaking within the network.
Citation
He, Z. (2025). Programmable Network Approaches to Resilience and Security in Phasor Measurement Unit Networks. Graduate Theses and Dissertations Retrieved from https://scholarworks.uark.edu/etd/6006