Tolerating Malicious Monitors in Detecting Misbehaving Robots

Adriano Fagiolini, Adriano Fagiolini, Ida Maria Savino, Antonio Bicchi, Gianluca Dini

Risultato della ricerca: Otherpeer review

6 Citazioni (Scopus)

Abstract

This paper considers a multi–agent system and focuses on the detection of motion misbehavior. Previous work by the authors proposed a solution, where agents act as local monitors of their neighbors and use locally sensed information as well as data received from other monitors. In this work, we consider possible failure of monitors that may send incorrect information to their neighbors due to spontaneous or even malicious malfunctioning. In this context, we propose a distributed software architecture that is able to tolerate such failures. Effectiveness of the proposed solution is shown through preliminary simulation results.
Lingua originaleEnglish
Pagine109-114
Numero di pagine6
Stato di pubblicazionePublished - 2008

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

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