Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/10878
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dc.contributor.authorAgca, M.A.-
dc.contributor.authorFaye, S.-
dc.contributor.authorKhadraoui, D.-
dc.date.accessioned2023-12-23T06:07:17Z-
dc.date.available2023-12-23T06:07:17Z-
dc.date.issued2023-
dc.identifier.issn2169-3536-
dc.identifier.urihttps://doi.org/10.1109/ACCESS.2023.3322568-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/10878-
dc.description.abstractAs the diversity of components increases within the intelligent systems, trusted interactivity also becomes critical challenge for the system components and nodes. Furthermore, emerging SDN (Software Defined Networking) features are also utilized to assure its resiliency and robustness in a dynamic context and monitored by trusted multi-agents' system to maximize trustworthiness of the system components and the deployed context. However, it is not feasible to deploy the intelligent mechanisms at massive scale with the state-of-the-art architectural design paradigms. Therefore, we define three main architectures (central, decentral/autonomous/embedded, distributed/hybrid) as a basis for TDAI methodology to ensure end-to-end trust in holistic AI system life-cycle. Thanks to such a trusted multi-agents-based trust monitoring mechanism, we will be able to overcome hardware limitations and provide flexible and resilient end-to-end trust mechanism for trusted AI models and emerging massive scale intelligent systems. Finally, we evaluated our TDAI Methodology in CCAM (Connected, Cooperative, Autonomous Mobility) domain of a smart-city to monitor its system trust and user behaviors. By that means, it is exploited as a mean of decision-making mechanism to be deployed either manually or automatically (example of anomalies detection etc.). Such a mechanism improves total system performance and behavioral anomaly detection and risk minimization algorithms over the distributed nodes of a given AI system. Furthermore, smartness features are also improved with human-like intelligence abilities at massive scale thanks to the promising performance of TDAI at real-life deployment experiments to maximize trust factor of the dynamically observed context of the smart-cities during the monitored time-span. © 2013 IEEE.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofIEEE Accessen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectdistributed computingen_US
dc.subjectmulti-agent systems (MAS)en_US
dc.subjectsoftware defined networking (SDN)en_US
dc.subjectTrusted AIen_US
dc.subjecttrusted execution environment (TEE)en_US
dc.subjectBehavioral researchen_US
dc.subjectDecision makingen_US
dc.subjectDistributed computer systemsen_US
dc.subjectIntelligent agentsen_US
dc.subjectIntelligent systemsen_US
dc.subjectJob analysisen_US
dc.subjectLife cycleen_US
dc.subjectNetwork securityen_US
dc.subjectSmart cityen_US
dc.subjectSoftware defined networkingen_US
dc.subjectBehavioral scienceen_US
dc.subjectDistributed Artificial Intelligenceen_US
dc.subjectMulti-agent systemen_US
dc.subjectSoftware defined networkingen_US
dc.subjectSoftware-defined networkingsen_US
dc.subjectTask analysisen_US
dc.subjectTrusted AIen_US
dc.subjectTrusted execution environmenten_US
dc.subjectTrusted execution environmentsen_US
dc.subjectMulti agent systemsen_US
dc.titleTrusted Distributed Artificial Intelligence (tdai)en_US
dc.typeArticleen_US
dc.departmentTOBB ETÜen_US
dc.identifier.volume11en_US
dc.identifier.startpage113307en_US
dc.identifier.endpage113323en_US
dc.identifier.scopus2-s2.0-85174801921en_US
dc.institutionauthor-
dc.identifier.doi10.1109/ACCESS.2023.3322568-
dc.authorscopusid57156396900-
dc.authorscopusid54082951200-
dc.authorscopusid6505849246-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
item.openairetypeArticle-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
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