Blockchain and federated learning-based distributed computing defence framework for sustainable society
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
The proposed distributed computing defence scheme achieved an accuracy rate of more than 92.7%.
“The performance evaluation shows that the proposed scheme achieved an accuracy rate of more than 92.7 %.”
From Federated Deep Learning for Cyber Security in the Internet of Things: Concepts, Applications, and Experimental Analysis (2021) · cites this paper as [105]
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References 39 · Cited by 83
- Authors
- Sharma, P. K., Park, J. H., & Cho, K.
- Affiliations
- Dongguk University (KR)
- Seoul National University of Science and Technology (KR)
- Corresponding author
- Park, Jong Hyuk
- Cho, Kyungeun
- Venue
- Sustainable Cities and Society
- Publisher
- Elsevier BV
- Published
- 2020-08
- Volume
- 59
- Pages
- 102220
- ISSN
- 2210-6707 (ISSN-L)
- OpenAlex
- W3021909663
- Cited by
- 83
- References
- 39
- Citations by year
- 2026: 4 · 2025: 8 · 2024: 16 · 2023: 15 · 2022: 18 · 2021: 20 · 2020: 2
- FWCI
- 12.94
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Sustainable Cities and Society (publishedVersion)
- Funders
- Dongguk University
- National Research Foundation of Korea
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Computer Science › Artificial Intelligence › Privacy-Preserving Technologies in Data
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Keywords
- blockchain, federated learning, distributed computing, privacy preservation, situational awareness, limited training data, national security, sustainable society
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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