End-to-End Trusted Execution Environment (TEE) with Dynamic Holistic View Based Throughput Maximization Approach

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dc.contributor.authorAgca, Muhammed Akif
dc.date.accessioned2026-01-31T15:08:10Z
dc.date.available2026-01-31T15:08:10Z
dc.date.issued2025
dc.departmentİstanbul Beykent Üniversitesi
dc.description11th International Conference on Computational Science and Computational Intelligence-CSCI -- DEC 11-13, 2024 -- Las Vegas, NV
dc.description.abstractDrastic progress and improvements on classical behavior modelling approaches; such as, cellular automata, chaotic systems, hierarchical block diagram modeling methods enabled to avoid of cumborsomism while adapting the dynamism at massive scale at some extend. However, persisting and ensuring the trust for varying contexts with an E2E trust mechanism require dynamic holistic views to adapt the dynamism at massive scale with extended data locality to the edges in trusted scalable manner. Initial observations for data exchange over a hybrid-cloud node, instead of cell unit scenario in 5G environment with the trust mechanism is promising to meet zero latency requirement of MEC (Multi-access/Mobile Edge Computing) edge units thanks to the improvements provided via memory-centric system design paradigms. It shows that data can be transmitted over a hybrid-cloud node rather than cell units can maximize total system throughput of emerging hybrid-clouds, which have 5/6G connectivity and strong quantum back-end units with the E2E trusted execution environment (TEE) and dynamic holistic views. By that means, it is promising to utilize MEMCA hybrid-cloud as massive scale cyber-intelligence system within the national security legal constraints with the E2E TEE, which have maximized total system through-put via dynamic holistic views of the observed chaotic context. So that, we can say that efficient utilization of MEMCA hybrid-cloud to national security systems as digital dynamics core mechanism can port the massive chaos in socio-dynamics to massive-growth via the dynamic feedback controller structures and embedded check-points to the available physical locations within the (near) real-time cyber intelligence mechanisms with maximized total system throughput values.
dc.description.sponsorshipLIST -Luxembourg Institute of Science and Tech
dc.description.sponsorshipProof of concept tests and initial implementations are partially implemented at TOBB ETU/IBM Distributed Data Analytics Research Laboratory. Thanks to TOBB ETU and IBM providing test clusters and research facilities for implementations. Thanks to European Space Agency and HAVELSAN Aerospace and Defense Company for providing Multispectral Satellite Imagery Data and supporting initial implementations of our object detection/tracking analytical models/applications on multispectral massive data sets. We are still investigating research and about to finalize POC implementations in another study. Thanks to LIST -Luxembourg Institute of Science and Tech. For travel funding. Furthermore, thanks to professors and industrial collaborators; Dr. Atakan PEKER, Ronald P LUIJTEN, Dr. Siamak KIA, Dr. Martin SCHMATZ, Prof. Bulent TAVLI, Prof. Mehmet AKSIT, Prof. Erdogan DOGDU, Assoc.Prof.Dr. Ahmet Murat OZBAYOGLU, Dr. Emre BASESKI, Dr. Djamel KHADROUI for proof reading and discussions about the system and analytical models.
dc.identifier.doi10.1007/978-3-031-99586-6_19
dc.identifier.endpage247
dc.identifier.isbn9783031995880
dc.identifier.isbn9783031995866
dc.identifier.issn1865-0929
dc.identifier.issn1865-0937
dc.identifier.scopus2-s2.0-105018307769
dc.identifier.scopusqualityQ3
dc.identifier.startpage226
dc.identifier.urihttps://doi.org./10.1007/978-3-031-99586-6_19
dc.identifier.urihttps://hdl.handle.net/20.500.12662/10609
dc.identifier.volume2512
dc.identifier.wosWOS:001597199300019
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer International Publishing Ag
dc.relation.ispartofComputational Science And Computational Intelligence, Csci 2024, Pt Xii
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260128
dc.subjectCyber Intelligence
dc.subjectDistributed Computing
dc.subjectStream processing
dc.subjectMiddleware
dc.subjectTrusted computing
dc.subjectTrusted Execution Environment (TEE)
dc.subjectQuantum Systems
dc.subjectHybrid-Clouds
dc.subject5/6 G
dc.titleEnd-to-End Trusted Execution Environment (TEE) with Dynamic Holistic View Based Throughput Maximization Approach
dc.typeConference Object

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