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@inproceedings{2212075,
author = {Halász, Dávid and Bühnová, Barbora},
address = {Neuveden},
booktitle = {Position Papers of the 17th Conference on Computer Science and Intelligence Systems},
doi = {http://dx.doi.org/10.15439/2022F273},
keywords = {autonomous ecosystems; adaptive safety; software architecture; trust; security},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Neuveden},
pages = {81-87},
publisher = {ACSIS},
title = {Rethinking Safety in Autonomous Ecosystems},
url = {https://annals-csis.org/Volume_31/drp/273.html},
year = {2022}
}
TY - JOUR
ID - 2212075
AU - Halász, Dávid - Bühnová, Barbora
PY - 2022
TI - Rethinking Safety in Autonomous Ecosystems
PB - ACSIS
CY - Neuveden
KW - autonomous ecosystems
KW - adaptive safety
KW - software architecture
KW - trust
KW - security
UR - https://annals-csis.org/Volume_31/drp/273.html
N2 - As autonomous cyber-physical systems are responding to the dynamism of our hyper-connected digital world, they are forming so called dynamic autonomous ecosystems, which require a change in methods ensuring their safe behavior. Within this change, reactions to predictable scenarios need to be replaced with adaptability to the unpredictable context, with gradual safety mechanisms, able to decide whether or not to trigger a certain mitigation procedure. In this paper, we outline our vision towards evolution of safety mechanisms to support dynamic and self-adaptive architectures of autonomous ecosystems. We are proposing an approach to address this research problem with the help of trust and reputation combined with gradual adaptation of safety procedures at runtime.
ER -
HALÁSZ, Dávid and Barbora BÜHNOVÁ. Rethinking Safety in Autonomous Ecosystems. Online. In \textit{Position Papers of the 17th Conference on Computer Science and Intelligence Systems}. Neuveden: ACSIS, 2022, p.~81-87. ISSN~2300-5963. Available from: https://dx.doi.org/10.15439/2022F273.
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