Please use this identifier to cite or link to this item:
Title: Persisting Trust in Emerging Hybrid-Clouds and 6G Systems
Authors: Agca M.A.
Khadraoui D.
Efe M.N.
Keywords: 5/6G
Distributed computing
Event abstraction
Markovian Chain Monte Carlo
Stream processing
Trusted computing
5G mobile communication systems
Chaotic systems
Distributed ledger
Electronic data interchange
Hierarchical systems
Information management
Network security
Trusted computing
Dynamic management
Event abstraction
Hybrid clouds
Markovian chain
Markovian chain monte carlo
Security and privacy
Stream processing
Transaction management
Trust mechanism
Issue Date: 2021
Publisher: Institute of Electrical and Electronics Engineers Inc.
Abstract: Distributed ledger-based transaction management approaches and lineage data recording for dynamic management of DAG (Directed Acyclic Graph) structures can achieve trusted scalability of analytical transactions in some manner. Sub-modular and disjoint cluster sets increase connectivity performance of analytical systems. Unified batch/interactive/ad-hoc querying can enable trusted E2E (end-to-end) analytics for massive systems. Trust factor and trust cost optimization reinforce the trustworthiness of the overall system in varying context. However, security and privacy architectures are still context dependent. Dynamic change in a context have to be adapted to all system layers in real-time for a complete E2E trust mechanism and confidence in smart-ecosystems.In this study, we explored dynamic security and privacy aspects of E2E analytical transactions in varying context. Classical behavior modelling approaches; such as, cellular automata, chaotic systems, hierarchical block diagram modeling methods are cumbersome to adapt the dynamism. Persisting and ensuring the trust for varying contexts with an E2E trust mechanism enable to adapt the dynamism at massive scale. Initial arguments for data exchange over a hybrid-cloud node, instead of cell unit scenario in a simulated 5G environment with the trust mechanism, is evaluated. It is promising to meet zero latency requirement of MEC (Multi-access/Mobile Edge Computing) units. So that, we can say that transmitting data over a hybrid-cloud node rather than cell units can maximize mobility of 5/6G ecosystem with the E2E trust mechanism. © 2021 IEEE.
Description: American Council on Science and Education
2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021 -- 15 December 2021 through 17 December 2021 -- -- 180282
ISBN: 9.78167E+12
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Öğrenci Yayınları / Students' Publications

Show full item record

CORE Recommender

Page view(s)

checked on Oct 2, 2023

Google ScholarTM



Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.