Trust Management Framework for Multi-Robot Systems

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F24%3A00138467" target="_blank" >RIV/00216224:14330/24:00138467 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.15439/2024F3165" target="_blank" >http://dx.doi.org/10.15439/2024F3165</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.15439/2024F3165" target="_blank" >10.15439/2024F3165</a>

Result language
angličtina
Original language name
Trust Management Framework for Multi-Robot Systems
Original language description
As autonomous technologies blend into a variety of industries, the employment of Multi-Robot Systems (MRS) in complex tasks is becoming increasingly prevalent. These systems, characterized by their distributed intelligence and collaborative capabilities, are now largely deployed in executing critical missions ranging from environmental exploration to disaster response. To support the trustworthy execution of such collaborative multi-robot missions, the existence of an underlying trust management framework is becoming imperative, given the rising risks of malicious intruders attempting to join the MRS. This paper proposes a Trust Management Framework (TMF) for Multi-Robot Systems, to bridge the gap of scarce trust management support for MRS. By analyzing trust dynamics and integrating direct and indirect trust with contextual data, we address the trust vulnerabilities inherent to MRS. Our primary contribution is the development of a novel TMF significantly supporting the trust, security and reliability of MRS. The paper systematically outlines the evolution of our TMF, from theoretical underpinnings to an integrated solution, and the discussion of its impact on the trustworthiness of cooperative robotic networks.
Czech name
—
Czech description
—

Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 19th Conference on Computer Science and Intelligence Systems (FedCSIS)
ISBN
9798350359718
ISSN
2300-5963
e-ISSN
—
Number of pages
11
Pages from-to
195-205
Publisher name
IEEE
Place of publication
Belgrade, Serbia
Event location
Belgrade, Serbia
Event date
Jan 1, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001413201600021

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