Optimal Control for Networks with Unobservable MaliciousNodes
Name
CV_C_241.pdf
Description
Accepted version
Size
885.75 KB
Format
Adobe PDF
Checksum (MD5)
50bbff223f00418f9dd94533ec905275
Author(s)
Liu, Bai
Modiano, Eytan
Date Issued
2022
Journal
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
Abstract
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).
MIT Department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/3529113.3529119
