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BlockFedIDS: A Blockchain-Enabled Federated Learning Framework for Privacy-Preserving Intrusion Detection in Heterogeneous IoT Networks Cover

BlockFedIDS: A Blockchain-Enabled Federated Learning Framework for Privacy-Preserving Intrusion Detection in Heterogeneous IoT Networks

Journal of Information Assurance and Security
Volume 21 (2026): Issue 6 (August 2026)
By:   
Open Access
|Sep 2026
Authors

Authors

Abhay Kumar Yadav

abhaybbdnitm01@gmail.com

Department of Computer Science and Engineering, National Institute of Technology, Uttarakhand, India
DOI: https://doi.org/10.2478/ias-2026-0022 | Journal eISSN: 1554-1029 | Journal ISSN: 1554-1010
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Language: English
Page range: 453 - 467
Published on: Sep 28, 2026
Published by: Cerebration Science Publishing Co., Limited
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
blockchain,
federated learning,
differential privacy,
Byzantine fault tolerance,
IoT security
Related subjects:
Computer sciences,
Fundamentals of computer sciences,
Theoretical computer sciences,
IT-security and cryptology

© 2026 Abhay Kumar Yadav, published by Cerebration Science Publishing Co., Limited
This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License.

Volume 21 (2026): Issue 6 (August 2026)
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