Integrating Blockchain and Fog Computing Technologies for Efficient Privacy-preserving Systems

Baniata Hamza
Integrating Blockchain and Fog Computing Technologies for Efficient Privacy-preserving Systems.
Doctoral thesis (PhD), University of Szeged.
(2023)

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Abstract in foreign language

This PhD dissertation concludes a three-year long research journey on the integration of Fog Computing and Blockchain technologies. The main aim of such integration is to address the challenges of each of these technologies, by integrating it with the other. Blockchain technology (BC) is a distributed ledger technology in the form of a distributed transactional database, secured by cryptography, and governed by a consensus mechanism. It was initially proposed for decentralized cryptocurrency applications with practically proven high robustness. Fog Computing (FC) is a geographically distributed computing architecture, in which various heterogeneous devices at the edge of network are ubiquitously connected to collaboratively provide elastic computation services. FC provides enhanced services closer to end-users in terms of time, energy, and network load. The integration of FC with BC can result in more efficient services, in terms of latency and privacy, mostly required by Internet of Things systems.

Item Type: Thesis (Doctoral thesis (PhD))
Creators: Baniata Hamza
Supervisor(s):
Supervisor
Position, academic title, institution
MTMT author ID
Kertész Attila
egyetemi docens, SZTE TTIK Informatikai Intézet, Szoftverfejlesztési Tanszék
10017735
Subjects: 01. Natural sciences > 01.02. Computer and information sciences
Divisions: Doctoral School of Computer Science
Discipline: Natural Sciences > Mathematics and Computer Sciences
Language: English
Date: 2023. February 16.
Item ID: 11555
MTMT identifier of the thesis: 34132495
doi: https://doi.org/10.14232/phd.11555
Date Deposited: 2022. Nov. 30. 08:12
Last Modified: 2023. Sep. 08. 15:15
Depository no.: B 7159
URI: https://doktori.bibl.u-szeged.hu/id/eprint/11555
Defence/Citable status: Defended.

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