2019/09/17 by Matthew Porter, Porter, Matthew, Pedro Hespanhol +7
Computer Science · Engineering · #FOS: Electrical engineering #FOS: Mathematics #Network Security and Intrusion Detection #Optimization and Control (math.OC) #Smart Grid Security and Resilience #Systems and Control (eess.SY) #Vehicular Ad Hoc Networks (VANETs) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1909.08111
openalex publication_date 2019/09/17 · openalex created_date 2022/07/23 · openalex updated_date 2026/07/28
Cyber-physical systems (CPS) often rely on external communication for\nsupervisory control or sensing. Unfortunately, these communications render the\nsystem vulnerable to cyber-attacks. Attacks that alter messages, such as replay\nattacks that record measurement signals and then play them back to the system,\ncan cause devastating effects. Dynamic Watermarking methods, which inject a\nprivate excitation into control inputs to secure resulting measurement signals,\nhave begun addressing the challenges of detecting these attacks, but have been\nrestricted to linear time invariant (LTI) systems. Though LTI models are\nsufficient for some applications, other CPS, such as autonomous vehicles,\nrequire more complex models. This paper develops a linear time-varying (LTV)\nextension to previous Dynamic Watermarking methods by designing a matrix\nnormalization factor to accommodate the temporal changes in the system.\nImplementable tests are provided with considerations for real-world systems.\nThe proposed method is then shown to be able to detect generalized replay\nattacks both in theory and in simulation using a LTV vehicle model.\n