(Do not) trust in ecosystems

D 2019

(Do not) trust in ecosystems

CIOROAICA, Emilia, Thomas KUHN a Barbora BÜHNOVÁ

Základní údaje

Originální název

(Do not) trust in ecosystems

Autoři

CIOROAICA, Emilia (642 Rumunsko), Thomas KUHN (276 Německo) a Barbora BÜHNOVÁ (203 Česká republika, garant, domácí)

Vydání

USA, Proceedings of the 41st International Conference on Software Engineering: New Ideas and Emerging Results, od s. 9-12, 4 s. 2019

Nakladatel

IEEE Press

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10200 1.2 Computer and information sciences

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Odkazy

URL

Kód RIV

RIV/00216224:14330/19:00110162

Organizační jednotka

Fakulta informatiky

ISBN

978-1-72811-758-4

DOI

http://dx.doi.org/10.1109/ICSE-NIER.2019.00011

UT WoS

000557879900003

Klíčová slova anglicky

Automotive; building trust; malicious behavior; smart ecosystems; virtual evaluation

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 3. 5. 2020 12:38, RNDr. Pavel Šmerk, Ph.D.

Anotace

V originále

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.

Návaznosti

CZ.02.1.01/0.0/0.0/16_019/0000822, interní kód MU
(Kód CEP: EF16_019/0000822)

Název: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur (Akronym: C4e)

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur, PO 1 Posilování kapacit pro kvalitní výzkum

EF16_019/0000822, projekt VaV

Název: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur

Citovat

CIOROAICA, Emilia, Thomas KUHN a Barbora BÜHNOVÁ. (Do not) trust in ecosystems. Online. In 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.

@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.

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