Optimal Control for Networks with Unobservable MaliciousNodes
Author(s)
Liu, Bai; Modiano, Eytan
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<jats:p>With the rapid development of information technology, modern network systems are becoming increasingly complex and are increasingly vulnerable to attacks such as Distributed Denial-of-Service (DDoS) attack. However, existing network control algorithms either require full observability and/or controllability for all nodes [2, 9, 1, 4, 6], or the network dynamics to be time-invariant and stochastic [7, 3, 8, 5]. In this paper, we aim to develop a new algorithm that can stabilize networks with unobservable and uncontrollable nodes under adversarial dynamics (i.e., external arrivals and actions of malicious nodes).</jats:p>
Date issued
2022Department
Massachusetts Institute of Technology. Department of Aeronautics and AstronauticsJournal
ACM SIGMETRICS Performance Evaluation Review
Publisher
Association for Computing Machinery (ACM)
Citation
Liu, Bai and Modiano, Eytan. 2022. "Optimal Control for Networks with Unobservable MaliciousNodes." ACM SIGMETRICS Performance Evaluation Review, 49 (3).
Version: Author's final manuscript