RETRACTED: A novel Internet of Things and federated learning-based privacy protection in blockchain technology
International Journal of Pervasive Computing and Communications
ISSN: 1742-7371
Article publication date: 10 August 2022
Retraction statement
The publishers of the International Journal of Pervasive Computing and Communications wish to retract the article “A novel Internet of Things and federated learning-based privacy protection in blockchain technology” by Shoayee Dlaim Alotaibi, which appeared ahead of print. https://doi.org/10.1108/IJPCC-03-2022-0123
An internal investigation into a series of submissions has uncovered evidence that the peer review process was compromised. As a result of these concerns, the findings of the article cannot be relied upon. This decision has been taken in accordance with Emerald's publishing ethics and the COPE guidelines on retractions. The author would like it to be noted that they are not in agreement with this retraction. The publishers of the journal sincerely apologize to the readers.
Abstract
Purpose
Be that as it may, BC is computationally costly, has restricted versatility and brings about critical transmission capacity upward and postpones, those seems not to be fit with Internet of Things (IoT) setting. A lightweight scalable blockchain (LSB) which is improved toward IoT necessities is suggested by the authors and investigates LSB within brilliant house setup like an agent model to enable more extensive IoT apps. Less asset gadgets inside brilliant house advantage via any unified chief which lays out common units for correspondence also cycles generally approaching and active solicitations.
Design/methodology/approach
Federated learning and blockchain (BC) have drawn in huge consideration due to the unchanging property and the relevant safety measure and protection benefits. FL and IoT safety measures’ difficulties can be conquered possibly by BC.
Findings
LSB accomplishes fragmentation through shaping any overlaid web with more asset gadgets mutually deal with a public BC and federated learning which assures complete protection also security.
Originality/value
This overlaid is coordinated as without error bunches and reduces extra efforts, also batch leader will be with answer to handle commonly known BCs. LSB joins some of advancements which also includes computations related to lesser weighing agreement, optimal belief also throughput regulatory body.
Keywords
Citation
Alotaibi, S.D. (2022), "RETRACTED: A novel Internet of Things and federated learning-based privacy protection in blockchain technology", International Journal of Pervasive Computing and Communications, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IJPCC-03-2022-0123
Publisher
:Emerald Publishing Limited
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