Practical, Efficient and Scalable Modeling, Verification and Validation of Safety-Critical Cyber-Physical Systems

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A typical Cyber-Physical System (CPS) comprehends physical devices monitored by sensors and controlled by actuators. These sensors and actuators may be interconnected via a network to a variety of different computational resources. These systems require a careful and tight integration of computing, communication, and control technologies to achieve stringent performance, stability, reliability, efficiency and robustness in both the physical systems as well as the cyber modules that are envisaged in many application domains. CPSs have been successfully employed and considered in almost every aspect of our daily lives, ranging from medical devices, smart cities, mobile devices, Industry 4.0, intelligent transportation, smart grid and energy systems. However, many CPSs are safety critical in nature and must be certified and ensured to be highly dependable even under unknown and hostile environments. The precision of computing must interface with the uncertainty and noise of the physical world. This requires powerful methods of failure detection, diagnosis, and recovery to ensure a reliable and correct system operation. Our goal in this research program is to develop a verification framework flow to formally, compositionally and efficiently reason about their reliability, safety and security. We will leverage hybrid system models, e.g. dynamic differential logic to modularly reason about the deterministic subsystems of the CPS with capabilities to model probabilities as uncertainties. We will develop scalable and sound exploration methods to analyze CPSs at higher level of abstraction. Our ultimate goal is to develop a holistic yet compositional approach for verification and validation of CPS and enable strong theoretical guarantees regarding the safety and security of CPSs. Several use cases will be investigated and performed to validate our proposed methodologies.