On resilient consensus against replay attacks in operator-vehicle networks

Minghui Zhu, Sonia Martinez

Research output: Chapter in Book/Report/Conference proceedingConference contribution

19 Scopus citations


We consider an operator-vehicle network where each unmanned vehicle is remotely maneuvered by an operator and its inputs are limited. The objective of the operator-vehicle network is to steer the vehicles to a consensus point within a given constraint set by means of coordination among operators and vehicles. Each operator-vehicle pair is attacked by an adversary who is able to maliciously replay the control commands sent from the operator. To play against adversaries, we come up with a novel replay resilient consensus algorithm based on receding-horizon control, and show that the algorithm can guarantee achieving the constrained consensus objective at a geometric rate. Our proposed algorithm shows an analogous resilience property to denial-of-service attacks.

Original languageEnglish (US)
Title of host publication2012 American Control Conference, ACC 2012
Number of pages6
StatePublished - 2012
Event2012 American Control Conference, ACC 2012 - Montreal, QC, Canada
Duration: Jun 27 2012Jun 29 2012

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619


Other2012 American Control Conference, ACC 2012
CityMontreal, QC

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering


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