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Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-29468
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dc.contributor.authorAnser, Yacine-
dc.contributor.authorGaber, Chrystel-
dc.contributor.authorCajeat, Romain-
dc.contributor.authorWary, Jean-Philippe-
dc.contributor.authorBouzefrane, Samia-
dc.contributor.authorYacoub, Méziane-
dc.contributor.authorKalinagac, Onur-
dc.contributor.authorGür, Gürkan-
dc.date.accessioned2024-01-04T13:09:35Z-
dc.date.available2024-01-04T13:09:35Z-
dc.date.issued2023-
dc.identifier.isbn978-1-4503-9990-6de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/29468-
dc.description.abstractTransitioning edge and cloud computing in 5G networks towards service-based architecture increases their complexity as they become even more dynamic and intertwine more actors or delegation levels. In this paper, we demonstrate the Liability-aware security manager Analysis Service (LAS), a framework that uses machine learning techniques to compute liability and trust indicators for service-based architectures such as cloud microservices. Based on the commitments of Service Providers (SPs) and real-time observations collected by a Root Cause Analysis (RCA) tool GRALAF, the LAS computes three categories of liability and trust indicators, specifically, a Commitment Trust Score, Financial Exposure, and Commitment Trends.de_CH
dc.language.isoende_CH
dc.publisherAssociation for Computing Machineryde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectEdge and cloud computingde_CH
dc.subjectMicroservicede_CH
dc.subjectLiabilityde_CH
dc.subjectApplication of machine learningde_CH
dc.subjectService level agreement (SLA)de_CH
dc.subjectTrustde_CH
dc.subject.ddc004: Informatikde_CH
dc.titleDemonstrating liability and trust metrics for multi-actor, dynamic edge and cloud microservicesde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Informatik (InIT)de_CH
dc.identifier.doi10.1145/3570361.3614086de_CH
dc.identifier.doi10.21256/zhaw-29468-
zhaw.conference.details29th Annual International Conference on Mobile Computing and Networking (MobiCom), Madrid, Spain, 2-6 October 2023de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.publication.statussubmittedVersionde_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.title.proceedingsProceedings of the 29th Annual International Conference on Mobile Computing and Networkingde_CH
zhaw.webfeedInformation Securityde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
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Anser, Y., Gaber, C., Cajeat, R., Wary, J.-P., Bouzefrane, S., Yacoub, M., Kalinagac, O., & Gür, G. (2023). Demonstrating liability and trust metrics for multi-actor, dynamic edge and cloud microservices. Proceedings of the 29th Annual International Conference on Mobile Computing and Networking. https://doi.org/10.1145/3570361.3614086
Anser, Y. et al. (2023) ‘Demonstrating liability and trust metrics for multi-actor, dynamic edge and cloud microservices’, in Proceedings of the 29th Annual International Conference on Mobile Computing and Networking. Association for Computing Machinery. Available at: https://doi.org/10.1145/3570361.3614086.
Y. Anser et al., “Demonstrating liability and trust metrics for multi-actor, dynamic edge and cloud microservices,” in Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, 2023. doi: 10.1145/3570361.3614086.
ANSER, Yacine, Chrystel GABER, Romain CAJEAT, Jean-Philippe WARY, Samia BOUZEFRANE, Méziane YACOUB, Onur KALINAGAC und Gürkan GÜR, 2023. Demonstrating liability and trust metrics for multi-actor, dynamic edge and cloud microservices. In: Proceedings of the 29th Annual International Conference on Mobile Computing and Networking. Conference paper. Association for Computing Machinery. 2023. ISBN 978-1-4503-9990-6
Anser, Yacine, Chrystel Gaber, Romain Cajeat, Jean-Philippe Wary, Samia Bouzefrane, Méziane Yacoub, Onur Kalinagac, and Gürkan Gür. 2023. “Demonstrating Liability and Trust Metrics for Multi-Actor, Dynamic Edge and Cloud Microservices.” Conference paper. In Proceedings of the 29th Annual International Conference on Mobile Computing and Networking. Association for Computing Machinery. https://doi.org/10.1145/3570361.3614086.
Anser, Yacine, et al. “Demonstrating Liability and Trust Metrics for Multi-Actor, Dynamic Edge and Cloud Microservices.” Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, Association for Computing Machinery, 2023, https://doi.org/10.1145/3570361.3614086.


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