Integrated Cyber Physical As- sessment and Response for Im- proved Resiliency P. Sivils 1 , C. Rieger 2 , K. Amarasinghe 1 , M. Manic 1 1 Introduction Cyber-physical systems (CPS) are commonly used architectures for critical in- frastructure applications such as smart urban environments. The Internet-of-Things (IoT) is a network based architecture in which physical devices, sensors, embedded electronics, software, vehicles, etc. can communicate and transfer data with each other over an internet connection. IoT technology is a subset of CPS in which phys- ical procedures are controlled and affected by computational processes while the computations are simultaneously altered based on the physical system state. In ex- pansive CPS designs, such as those required for IoT enabled urban ecosystem ap- plications, expansive networks are implemented to collect, transfer, monitor, and analyze data. This data is processed for automated control applications, generate predictive models, and provide enhanced understanding for operators and consum- ers. [39] For cyber-physical systems, as in control systems and critical infrastructure, en- suring the resilience of a system is critical to its long-term efficiency and security. CPS uses many automated systems to perform tasks and handle anomalies. These systems can be very complex, have different methods of integration, and involve varying levels of human interaction. Resilience is a multi-disciplinary effort that ensures changes and anomalies experienced by a system are tolerated by the system design. Resilient control systems maintain system monitoring, awareness, cyber- security, and decision making at an acceptable level of operation to facilitate normal and necessary functions. Ensuring the trustworthiness of data coming from the various devices, sensors and network traffic should be one of the top priorities in designing any cyber-phys- ical system (CPS). Trustworthy sources ensures that the available data is being used efficiently and the outputs are accurate. This is especially important in smart city 1 Virginia Commonwealth University 2 Idaho National Laboratory