Blockchain-Based Federated Learning With Secure Aggregation in Trusted Execution Environment for Internet-of-Things Article Swipe
YOU?
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· 2022
· Open Access
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· DOI: https://doi.org/10.1109/tii.2022.3170348
This paper proposes a blockchain-based Federated Learning (FL) framework with Intel Software Guard Extension (SGX)-based Trusted Execution Environment (TEE) to securely aggregate local models in Industrial Internet-of-Things (IIoTs). In FL, local models can be tampered with by attackers. Hence, a global model generated from the tampered local models can be erroneous. Therefore, the proposed framework leverages a blockchain network for secure model aggregation. Each blockchain node hosts an SGX-enabled processor that securely performs the FL-based aggregation tasks to generate a global model. Blockchain nodes can verify the authenticity of the aggregated model, run a blockchain consensus mechanism to ensure the integrity of the model, and add it to the distributed ledger for tamper-proof storage. Each cluster can obtain the aggregated model from the blockchain and verify its integrity before using it. We conducted several experiments with different CNN models and datasets to evaluate the performance of the proposed framework.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/tii.2022.3170348
- OA Status
- green
- Cited By
- 113
- References
- 54
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4226256841
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4226256841Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/tii.2022.3170348Digital Object Identifier
- Title
-
Blockchain-Based Federated Learning With Secure Aggregation in Trusted Execution Environment for Internet-of-ThingsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2022Year of publication
- Publication date
-
2022-04-26Full publication date if available
- Authors
-
Aditya Pribadi Kalapaaking, Ibrahim Khalil, Mohammad Saidur Rahman, Mohammed Atiquzzaman, Xun Yi, Mahathir AlmashorList of authors in order
- Landing page
-
https://doi.org/10.1109/tii.2022.3170348Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2304.12889Direct OA link when available
- Concepts
-
Blockchain, Computer science, Computer security, The Internet, Internet of Things, Trusted Network Connect, Direct Anonymous Attestation, Trusted Computing, Computer network, World Wide Web, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
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113Total citation count in OpenAlex
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2025: 44, 2024: 40, 2023: 26, 2022: 3Per-year citation counts (last 5 years)
- References (count)
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54Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| primary_location.raw_source_name | IEEE Transactions on Industrial Informatics |
| primary_location.landing_page_url | https://doi.org/10.1109/tii.2022.3170348 |
| publication_date | 2022-04-26 |
| publication_year | 2022 |
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