Gossip average consensus in a byzantine environment using stochastic set-valued observers

Abstract

Abstract — We address the problem of a consensus system in the presence of Byzantine faults seen as an attacker injecting a perturbation in the state of the nodes. We propose the use of Set-Valued Observers to detect if the state observations are compatible with the system dynamics. The method is extended to the stochastic case by introducing a strategy to construct a set that is guaranteed to contain all possible states with, at least, a pre-specified desired probability. The proposed algorithm is stable in the sense that it requires a finite number of vertices to represent polytopic sets while also enabling the a priori computation of the largest magnitude of a disturbance that an attacker can inject without being detected.

ICB Affiliated Authors

Authors
D. Silvestre, P. Rosa, R. Cunha, J. P. Hespanha, and C. Silvestre
Date
Type
Peer-Reviewed Conference Presentation
Journal
Proceedings of the 52nd IEEE Conference on Decision and Control