Consensus Algorithm with Censored Data for Distributed Detection with Corrupted Measurements: A Game-Theoretic Approach

DOI10.1007/978-3-319-47413-7_26zbMath1448.68192OpenAlexW2529257211MaRDI QIDQ3179207

Benedetta Tondi, Kassem Kallas, Riccardo Lazzeretti, Mauro Barni

Publication date: 21 December 2016

Published in: Lecture Notes in Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-47413-7_26

zbMATH Keywords

game theoryconsensus algorithmadversarial signal processingdata fusion in malicious settingsdistributed detection with corrupted measurements

Mathematics Subject Classification ID

Applications of game theory (91A80) Network protocols (68M12) Distributed algorithms (68W15) Computer security (68M25)

Related Items

Consensus Algorithm with Censored Data for Distributed Detection with Corrupted Measurements: A Game-Theoretic Approach

Uses Software

• NADA

Cites Work

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• Distributed Function Calculation via Linear Iterative Strategies in the Presence of Malicious Agents
• Collective dynamics of ‘small-world’ networks
• Attack Detection and Identification in Cyber-Physical Systems