Compensation of attacks on consensus networks
Autor: | Alireza Khosravian, Mohsen Zamani, Brett Ninness |
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Rok vydání: | 2016 |
Předmět: |
Scheme (programming language)
021110 strategic defence & security studies 0209 industrial biotechnology Computer science Distributed computing 0211 other engineering and technologies 02 engineering and technology Compensation (engineering) 020901 industrial engineering & automation Constant (computer programming) Control theory Injection attacks computer Computer Science::Cryptography and Security computer.programming_language |
Zdroj: | ICASSP |
DOI: | 10.1109/icassp.2016.7472326 |
Popis: | In this paper, we propose a methodology for compensation of attacks on consensus networks. We assume that the network achieves its desired consensus value under a normal operational setting i.e. when the networked system is not under attack. We propose an adaptive based technique to ensure that the networked system maintains its desired behavior when the system inputs are under some false-date injection attacks. The proposed method adaptively estimates attack signals and compensates their effects. We demonstrate the good performance of our proposed compensation scheme through simulation studies that consider both constant and time-varying attack signals. |
Databáze: | OpenAIRE |
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