Conference paper

The supervisory control and data acquisition (SCADA) network in a smart grid must be reliable and efficient to transmit real-time data to the controller, especially when the system is under contingencies or cyberattacks. Introducing the features of software-defined networks (SDN) into a SCADA network helps in better management of communication and deployment of novel grid control operations.

Cyber-physical systems (CPSs) and the Internet of Things (IoT) are converging towards a hybrid platform that is becoming ubiquitous in all modern infrastructures. The massive deployment of CPS requires comprehensive, secure, and reliable communication. The integration of complex and heterogeneous systems makes enormous space for the adversaries to get into the network and inject malicious data. To obfuscate and mislead the attackers, we propose DDAF, a deception defense-based data acquisition framework for a hierarchical communication network of CPSs.

Wind energy is one of the major sources of renewable energy. Countries around the world are increasingly deploying large wind farms that can generate a significant amount of clean energy. A wind farm consists of many turbines, often spread across a large geographical area. Modern wind turbines are equipped with meteorological sensors. The wind farm control center monitors the turbine sensors and adjusts the power generation parameters for optimal power production.

As multi-agent systems become ubiquitous, the ability to satisfy multiple system-level constraints in these systems grows increasingly important. In applications ranging from automated cruise control to safety in robot swarms, barrier functions have emerged as a tool to provably meet such constraints by guaranteeing forward invariance of a set. However, satisfying multiple constraints typically implies formulating multiple barrier functions, bringing up the need to address the degree to which multiple barrier functions may be composed through Boolean logic.