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@inproceedings{2293661,
author = {Iqbal, Danish and Bühnová, Barbora and Cioroaica, Emilia},
address = {Neuveden},
booktitle = {18th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE},
doi = {http://dx.doi.org/10.5220/0011986900003464},
keywords = {Trust; Digital Twins; Safety; Autonomous Drones; Run-time Compliance Checking; Autonomous Ecosystem.},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Neuveden},
isbn = {978-989-758-647-7},
pages = {629-639},
publisher = {SciTePress},
title = {Digital Twins for Trust Building in Autonomous Drones through Dynamic Safety Evaluation},
url = {http://dx.doi.org/10.5220/0011986900003464},
year = {2023}
}
TY - JOUR
ID - 2293661
AU - Iqbal, Danish - Bühnová, Barbora - Cioroaica, Emilia
PY - 2023
TI - Digital Twins for Trust Building in Autonomous Drones through Dynamic Safety Evaluation
PB - SciTePress
CY - Neuveden
SN - 9789897586477
KW - Trust
KW - Digital Twins
KW - Safety
KW - Autonomous Drones
KW - Run-time Compliance Checking
KW - Autonomous Ecosystem.
UR - http://dx.doi.org/10.5220/0011986900003464
N2 - The adoption process of innovative software-intensive technologies leverages complex trust concerns in different forms and shapes. Perceived safety plays a fundamental role in technology adoption, being especially crucial in the case of those innovative software-driven technologies characterized by a high degree of dynamism and unpredictability, like collaborating autonomous systems. These systems need to synchronize their maneuvers in order to collaboratively engage in reactions to unpredictable incoming hazardous situations. That is however only possible in the presence of mutual trust. In this paper, we propose an approach for machine-to-machine dynamic trust assessment for collaborating autonomous systems that supports trust-building based on the concept of dynamic safety assurance within the collaborative process among the software-intensive autonomous systems. In our approach, we leverage the concept of digital twins which are abstract models fed with real-time data used in the run-time dynamic exchange of information. The information exchange is performed through the execution of specialized models that embed the necessary safety properties. More particularly, we examine the possible role of the Digital Twins in machine-to-machine trust building and present their design in supporting dynamic trust assessment of autonomous drones. Ultimately, we present a proof of concept of direct and indirect trust assessment by employing the Digital Twin in a use case involving two autonomous collaborating drones.
ER -
IQBAL, Danish, Barbora BÜHNOVÁ and Emilia CIOROAICA. Digital Twins for Trust Building in Autonomous Drones through Dynamic Safety Evaluation. Online. In \textit{18th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE}. Neuveden: SciTePress, 2023, p.~629-639. ISBN~978-989-758-647-7. Available from: https://dx.doi.org/10.5220/0011986900003464.
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