DDDAS for Attack Detection and Isolation of Control Systems

In the last decade, the security of control systems has become a research priority. Attack detection, isolation and reconfiguration are necessary to maintain a control system safe, even in the presence of attacks. In this work, we exploit some tools from fault-tolerant control systems and analyze them under a security framework leveraging the insights from Dynamic Data Driven Applications Systems (DDDAS). In particular, we propose DDDAS Anomaly Isolation and Response (DDDAS-AIR), an architecture for secure control systems that relies on simulations of the physical system to help us reconfigure the sensors in order to mitigate the impact of the attack. This chapter demonstrates the proposed mechanisms with a three-tanks system under attack, and shows how the evaluation of traditional fault-detection systems needs to be reconsidered for attacks instead of natural faults.