Skip to main content

Research Repository

Advanced Search

A novel and innovative blockchain-empowered federated learning approach for secure data sharing in smart city applications.

Hai, Tao; Wang, Dan; Seetharaman, Tamizharasi; Amelesh, M.; Sreejith, P.M.; Sharma, Vandana; Ibeke, Ebuka; Liu, Hong

Authors

Tao Hai

Dan Wang

Tamizharasi Seetharaman

M. Amelesh

P.M. Sreejith

Vandana Sharma

Hong Liu



Contributors

Celestine Iwendi
Editor

Zakaria Boulouard
Editor

Natalia Kryvinska
Editor

Abstract

The very existence of smart cities forms the stepping stone in the evolution of many technological advancements in the future era. While smart cities have already grown in their way, the tremendous amount of data generated from them paves the way for new perspectives of development. This is because security and privacy remain to be the major constraint across smart city applications. Further, smart city applications such as smart homes, smart transportation, and smart healthcare are generating a huge amount of data every day and it is often complex to collect and manage all the data together at a single location. To address these constraints, this paper presents a novel and innovative blockchain-assisted federated learning approach for secure data sharing in IoT Smart Cities. Here, we implement a federated learning approach, where the process of learning is made in a distributed fashion. The use of blockchain in turn adds more security and resilience to smart city applications. The security analysis proves that the proposed approach offers comparatively better performance and remains more resistant to various security threats and vulnerabilities.

Citation

HAI, T., WANG, D., SEETHARAMAN, T., AMELESH, M, SREEJITH, P.M., SHARMA, V., IBEKE, E. and LIU, H. 2023. A novel and innovative blockchain-empowered federated learning approach for secure data sharing in smart city applications. In Iwendi, C., Boulouard, Z. and Kryvinska, N. (eds.) Proceedings of the 2023 International conference on advances in communication technology and computer engineering (ICACTCE'23): new artificial intelligence and the Internet of things based perspective and solutions, 23-24 February 2023, Bolton UK. Lecture notes in networks and systems, 735. Cham: Springer [online], pages 105-118. Available from: https://doi.org/10.1007/978-3-031-37164-6_9

Conference Name Proceedings of the 2023 International conference on advances in communication technology and computer engineering (ICACTCE'23): new artificial intelligence and the Internet of things based perspective and solutions
Conference Location Bolton, UK
Start Date Feb 24, 2023
End Date Feb 25, 2023
Acceptance Date Feb 6, 2023
Online Publication Date Sep 24, 2023
Publication Date Dec 31, 2023
Deposit Date Feb 23, 2023
Publicly Available Date Sep 25, 2024
Publisher Springer
Pages 105-118
Series Title Lecture notes in networks and systems
Series Number 735
Series ISSN 2367-3370; 2367-3389
Book Title Proceedings of the Proceedings of the 2023 International conference on advances in communication technology and computer engineering (ICACTCE'23): new artificial intelligence and the Internet of things based perspective and solutions Bolton, UK
ISBN 9783031371639
DOI https://doi.org/10.1007/978-3-031-37164-6_9
Keywords Smart city; Federated learning; IOT; Secure data sharing; Blockchain
Public URL https://rgu-repository.worktribe.com/output/1893740

Files

This file is under embargo until Sep 25, 2024 due to copyright reasons.

Contact publications@rgu.ac.uk to request a copy for personal use.



You might also like



Downloadable Citations