(Do not) trust in ecosystems

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F19%3A00110162" target="_blank" >RIV/00216224:14330/19:00110162 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ICSE-NIER.2019.00011" target="_blank" >http://dx.doi.org/10.1109/ICSE-NIER.2019.00011</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICSE-NIER.2019.00011" target="_blank" >10.1109/ICSE-NIER.2019.00011</a>

Result language
angličtina
Original language name
(Do not) trust in ecosystems
Original language description
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.
Czech name
—
Czech description
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Project
<a href="/en/project/EF16_019%2F0000822" target="_blank" >EF16_019/0000822: CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 41st International Conference on Software Engineering: New Ideas and Emerging Results
ISBN
9781728117584
ISSN
—
e-ISSN
—
Number of pages
4
Pages from-to
9-12
Publisher name
IEEE Press
Place of publication
USA
Event location
Montreal, Canada
Event date
Jan 1, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000557879900003

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