Trust Management Framework for Multi-Robot Systems
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Trust Management Framework for Multi-Robot Systems
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Trust Management Framework for Multi-Robot Systems
Popis výsledku anglicky
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.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
10200 - Computer and information sciences
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2024
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Proceedings of the 19th Conference on Computer Science and Intelligence Systems (FedCSIS)
ISBN
9798350359718
ISSN
2300-5963
e-ISSN
—
Počet stran výsledku
11
Strana od-do
195-205
Název nakladatele
IEEE
Místo vydání
Belgrade, Serbia
Místo konání akce
Belgrade, Serbia
Datum konání akce
1. 1. 2024
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
001413201600021