An enhanced consortium blockchain diversity mining technique for IoT metadata aggregation
P Chithaluru, F Al-Turjman, R Dugyala… - Future Generation …, 2024 - Elsevier
Over the last two decades, Internet of Things (IoT) networks have grown exponentially.
Although the devices have relatively low memory, resource, and processing capability, the …
Although the devices have relatively low memory, resource, and processing capability, the …
Enhanced privacy-preserving distributed deep learning with application to fog-based IoT
E Antwi-Boasiako, S Zhou, Y Liao, E Kuada, EK Danso - Internet of Things, 2024 - Elsevier
Generally, privacy-preserving distributed deep learning (PPDDL) solutions provided so far
present a trade-off between privacy and efficiency/effectiveness, especially, in terms of high …
present a trade-off between privacy and efficiency/effectiveness, especially, in terms of high …
Adaptive Deep Conditional Random Field-Based Blockchain Access with Hybrid Encryption for Data Privacy Preservation
YVRS Viswanadham, KA Panaiyappan - SN Computer Science, 2024 - Springer
Abstract Data Privacy Preservation (DPP) is a control measures to protect users sensitive
information from third party. The DPP guarantees that the information of the user's data is not …
information from third party. The DPP guarantees that the information of the user's data is not …
[PDF][PDF] Implementation of emerging technologies in companies in the manufacturing sector: A systematic review of the literature 2018–2023
DAB Crispin, LMM Roca, JN Malpartida - laccei.org
The purpose of this study is to identify the predominant methods of emerging technologies
used in companies in the manufacturing sector, for greater operational efficiency by …
used in companies in the manufacturing sector, for greater operational efficiency by …