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dc.contributor.authorLiu, Bai
dc.contributor.authorModiano, Eytan
dc.date.accessioned2022-09-15T18:34:29Z
dc.date.available2022-09-15T18:34:29Z
dc.date.issued2022
dc.identifier.urihttps://hdl.handle.net/1721.1/145440
dc.description.abstract<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>en_US
dc.language.isoen
dc.publisherAssociation for Computing Machinery (ACM)en_US
dc.relation.isversionof10.1145/3529113.3529119en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceMIT web domainen_US
dc.titleOptimal Control for Networks with Unobservable MaliciousNodesen_US
dc.typeArticleen_US
dc.identifier.citationLiu, Bai and Modiano, Eytan. 2022. "Optimal Control for Networks with Unobservable MaliciousNodes." ACM SIGMETRICS Performance Evaluation Review, 49 (3).
dc.contributor.departmentMassachusetts Institute of Technology. Department of Aeronautics and Astronauticsen_US
dc.relation.journalACM SIGMETRICS Performance Evaluation Reviewen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2022-09-15T18:28:28Z
dspace.orderedauthorsLiu, B; Modiano, Een_US
dspace.date.submission2022-09-15T18:28:29Z
mit.journal.volume49en_US
mit.journal.issue3en_US
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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