A unified framework for data integrity protection in people-centric smart cities
Open accessIntegrity signals
Registry
Cites
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
Blockchain acts as an innovative and effective safeguard to the privacy of transactions due to its authentication and encryption mechanisms.
“According to several studies, blockchain acts as an innovative and effective safeguard to the privacy of transactions due to its authentication and encryption mechanisms (Altulyan et al. 2020; Chaudhary et al. 2019; Khan et al. 2020; Nam et al. 2019; Treiblmaier et al. 2020).”
From Blockchain technology in the smart city: A bibliometric review (2022) · cites this paper as Altulyan et al. 2020
The citation lists haven’t been fetched yet
References 33 · Cited by 37
- Authors
- Altulyan, M., Yao, L., Kanhere, S. S., Wang, X., & Huang, C.
- Affiliations
- UNSW Sydney (AU)
- University of Technology Sydney (AU)
- Corresponding author
- Altulyan, May
- Venue
- Multimedia Tools and Applications
- Published
- 2019-02-04
- Volume
- 79
- Issue
- 7-8
- Pages
- 4989-5002
- ISSN
- 1380-7501 (ISSN-L)
- 1573-7721
- OpenAlex
- W2911329984
- Cited by
- 37
- References
- 33
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 1 · 2023: 8 · 2022: 7 · 2021: 10 · 2020: 6 · 2019: 1
- FWCI
- 7.47
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Multimedia Tools and Applications (publishedVersion)
- OPUS - Open Publications of UTS Scholars (University of Technology Sydney) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Computer Science › Information Systems › Cloud Data Security Solutions
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Keywords
- data integrity, smart cities, Internet of Things, secret sharing, fog computing, blockchain, data lifecycle, smart healthcare, resource-constrained devices
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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