Digital Twins for Trust Building in Autonomous Drones through Dynamic Safety Evaluation

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F23%3A00131090" target="_blank" >RIV/00216224:14330/23:00131090 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.5220/0011986900003464" target="_blank" >http://dx.doi.org/10.5220/0011986900003464</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5220/0011986900003464" target="_blank" >10.5220/0011986900003464</a>

Result language

angličtina

Original language name

Digital Twins for Trust Building in Autonomous Drones through Dynamic Safety Evaluation

Original language description

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.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10200 - Computer and information sciences

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

18th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE

ISBN

9789897586477

ISSN

2184-4895

e-ISSN

—

Number of pages

11

Pages from-to

629-639

Publisher name

SciTePress

Place of publication

Neuveden

Event location

Neuveden

Event date

Jan 1, 2023

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

001119034200064