Distributed detection and mitigation of biasing attacks over multi-agent networks

HIGHLIGHTS

• who: Mohammadreza Doostmohammadian and collaborators from the (UNIVERSITY) have published the research: Distributed Detection and Mitigation of Biasing Attacks Over Multi-Agent Networks, in the Journal: (JOURNAL)
• what: For performance analysis in the attack-free case the authors show that the proposed distributed estimation is unbiased with bounded meansquare deviation in steady-state. The authors propose a residualbased strategy to locally detect possible attacks at agents. The authors propose the attack detection and mitigation strategy based on this specific agent classification. The authors show that isolation of the attacks related to system rank-deficiency is . . .
  

   

  

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