Další formáty:
BibTeX
LaTeX
RIS
@inproceedings{1545585,
author = {Cioroaica, Emilia and Kuhn, Thomas and Bühnová, Barbora},
address = {USA},
booktitle = {Proceedings of the 41st International Conference on Software Engineering: New Ideas and Emerging Results},
doi = {http://dx.doi.org/10.1109/ICSE-NIER.2019.00011},
keywords = {Automotive; building trust; malicious behavior; smart ecosystems; virtual evaluation},
howpublished = {elektronická verze "online"},
language = {eng},
location = {USA},
isbn = {978-1-72811-758-4},
pages = {9-12},
publisher = {IEEE Press},
title = {(Do not) trust in ecosystems},
url = {http://dx.doi.org/10.1109/ICSE-NIER.2019.00011},
year = {2019}
}
TY - JOUR
ID - 1545585
AU - Cioroaica, Emilia - Kuhn, Thomas - Bühnová, Barbora
PY - 2019
TI - (Do not) trust in ecosystems
PB - IEEE Press
CY - USA
SN - 9781728117584
KW - Automotive
KW - building trust
KW - malicious behavior
KW - smart ecosystems
KW - virtual evaluation
UR - http://dx.doi.org/10.1109/ICSE-NIER.2019.00011
L2 - http://dx.doi.org/10.1109/ICSE-NIER.2019.00011
N2 - In the context of Smart Ecosystems, systems engage in dynamic cooperation with other systems to achieve their goals. Expedient operation is only possible when all systems cooperate as expected. This requires a level of trust between the components of the ecosystem. New systems that join the ecosystem therefore first need to build up a level of trust. Humans derive trust from behavioral reputation in key situations. In Smart Ecosystems (SES), the reputation of a system or system component can also be based on observation of its behavior. In this paper, we introduce a method and a test platform that support virtual evaluation of decisions at runtime, thereby supporting trust building within SES. The key idea behind the platform is that it employs and evaluates Digital Twins, which are executable models of system components, to learn about component behavior in observed situations. The trust in the Digital Twin then builds up over time based on the behavioral compliance of the real system component with its Digital Twin. In this paper, we use the context of automotive ecosystems and examine the concepts for building up reputation on control algorithms of smart agents dynamically downloaded at runtime to individual autonomous vehicles within the ecosystem.
ER -
CIOROAICA, Emilia, Thomas KUHN a Barbora BÜHNOVÁ. (Do not) trust in ecosystems. Online. In \textit{Proceedings of the 41st International Conference on Software Engineering: New Ideas and Emerging Results}. USA: IEEE Press, 2019, s.~9-12. ISBN~978-1-72811-758-4. Dostupné z: https://dx.doi.org/10.1109/ICSE-NIER.2019.00011.
|
