D 2024

Achieving Adaptive Safety via Trust Building in Autonomous Ecosystems

HALÁSZ, Dávid and Barbora BÜHNOVÁ

Basic information

Original name

Achieving Adaptive Safety via Trust Building in Autonomous Ecosystems

Authors

HALÁSZ, Dávid (703 Slovakia, guarantor, belonging to the institution) and Barbora BÜHNOVÁ (203 Czech Republic, belonging to the institution)

Edition

Caparica, Portugal, Technological Innovation for Human-Centric Systems. DoCEIS 2024. IFIP Advances in Information and Communication Technology, vol 716. p. 181-191, 11 pp. 2024

Publisher

Springer Cham

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

References:

Organization unit

Faculty of Informatics

ISBN

978-3-031-63850-3

Keywords in English

Trust;Safety;Autonomous Systems;Autonomous Ecosystems;Cyber-Physical Systems;Adaptive Safety;Digital Twins;Autonomous Vehicles

Tags

International impact, Reviewed
Změněno: 14/10/2024 17:23, Ing. Dávid Halász

Abstract

V originále

The evolving landscape of autonomous cyber-physical systems is progressing towards cooperative ecosystems. These complex structures, characterized by dynamic interactions among various autonomous systems, offer heightened autonomy and adaptability but pose substantial challenges in ensuring safety. The swift development of autonomous driving underlines the urgency to address these issues. Existing safety assurance methods, while effective on an individual level, struggle to encompass the complexities of dynamic ecosystems. To bridge this gap, this paper advocates for adaptive safety mechanisms informed by trust and trustworthiness between ecosystem members and proposes a path towards a method ensuring adaptive safety.

Links

MUNI/A/1586/2023, interní kód MU
Name: Aplikovaný výzkum na FI: Forenzní aspekty kritických infrastruktur, aplikovaná kryptografie, kyberbezpečnostní cvičení, algoritmy plánování v logistice a pro zpracování dat z fyzikálních sensorů
Investor: Masaryk University, Applied research at FI: Forensic aspects of critical infrastructures, applied cryptography, cybersecurity trainings, scheduling algorithms logistics and algorithms for physical sensors