Tolerating Malicious Monitors in Detecting Misbehaving Robots

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

Research output: Contribution to conferenceOtherpeer-review

6 Citations (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.
Original languageEnglish
Pages109-114
Number of pages6
Publication statusPublished - 2008

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

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