Detailed Information on Publication Record
2020
Reference Architecture for Trust-Based Digital Ecosystems
CIOROAICA, Emilia, Stanislav CHREN, Barbora BÜHNOVÁ, Thomas KUHN, Dimitar DIMTROV et. al.Basic information
Original name
Reference Architecture for Trust-Based Digital Ecosystems
Authors
CIOROAICA, Emilia, Stanislav CHREN (703 Slovakia, guarantor, belonging to the institution), Barbora BÜHNOVÁ (203 Czech Republic, belonging to the institution), Thomas KUHN and Dimitar DIMTROV
Edition
Salvador; Brazil, 2020 IEEE International Conference on Software Architecture Companion (ICSA-C), p. 266-273, 8 pp. 2020
Publisher
IEEE Press
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10200 1.2 Computer and information sciences
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
electronic version available online
References:
RIV identification code
RIV/00216224:14330/20:00115830
Organization unit
Faculty of Informatics
ISBN
978-1-7281-7415-0
UT WoS
000587897600044
Keywords in English
Collaborative Embedded Systems; Reference Architecture; Digital Ecosystems; Software Ecosystems; Smart Ecosystems; Automotive Smart Ecosystem; Smart Grid
Tags
International impact, Reviewed
Změněno: 14/5/2021 11:32, RNDr. Pavel Šmerk, Ph.D.
Abstract
V originále
Formation of digital ecosystems enables a multitude of actors like organisations, users and developers to achieve different goals in cooperations. The achievement of operational, tactical and strategic goals of involved actors relies on trustworthy cooperation of systems that operate in open environments and might meet for the first time at runtime. Thus the evaluation of a potential collaborator's trustworthiness also needs to be performed at runtime.In this paper, we enhance our work on trust prediction in digital ecosystems, based on digital twins evaluation, with a supporting reference architecture that enables the creation of such a digital twin for automatic computation of trust.
Links
CZ.02.1.01/0.0/0.0/16_019/0000822, interní kód MU (CEP code: EF16_019/0000822) |
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EF16_019/0000822, research and development project |
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MUNI/A/1411/2019, interní kód MU |
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