Modeling Methodologies and Testing/Evaluation Platform

Research on various smart grid technologies requires high-fidelity experiments in realistic, large-scale settings. We are creating DSSNet [source code], a high-fidelity, highly scalable simulation and emulation platform for security evaluation in power grid control networks.

We have utilized the testbed to study various cyber attacks in the smart grid, including

• Distributed denial-of-service attack (DDoS) in an advanced metering infrastructure (AMI)
• Event buffer flooding attack on a supervisory control and data acquisition (SCADA) system
• Transactive control network protocol

Event buffer flooding attack in SCADA systems	c12.22 trace-service-based DDoS attack in AMI networks

Toward a Cyber Resilient and Secure Smart Grid Using Software-Defined Networking (SDN)

To build a resilient and secure smart grid in the face of growing cyber-attacks and human errors, we study an SDN-based communication network architecture for smart grid operations. We also leverage the global visibility, direct networking controllability, and programmability offered by SDN to investigate multiple security and resilience applications, e.g.,

• Self-healing PMU network [news on Best Paper Award]
• Real-time and uncertainty-aware network verification
• Context-aware intrusion detection