A Probabilistic Characterization of Random and Malicious Communication Failures in Multi-Hop Networked Control
For researchers in networked control systems, this provides a probabilistic framework to handle both random and malicious failures, but the results are theoretical and not yet validated on real systems.
The paper characterizes random and malicious communication failures in multi-hop networked control using asymptotic tail-probability bounds, and derives a sufficient condition for system stability. The approach accounts for dependent failures and coordinated attacks.
The control problem of a linear discrete-time dynamical system over a multi-hop network is explored. The network is assumed to be subject to packet drops by malicious and nonmalicious nodes as well as random and malicious data corruption issues. We utilize asymptotic tail-probability bounds of transmission failure ratios to characterize the links and paths of a network as well as the network itself. This probabilistic characterization allows us to take into account multiple failures that depend on each other, and coordinated malicious attacks on the network. We obtain a sufficient condition for the stability of the networked control system by utilizing our probabilistic approach. We then demonstrate the efficacy of our results in different scenarios concerning transmission failures on a multi-hop network.