Cited by 46Blockchain Technology Applications and SecurityInternet of Things and AIBlockchain Technology in Education and Learning

AI and Blockchain for Healthcare Data Security in Smart Cities

Rajawat, Anand Singh, Bedi, Pradeep, Goyal, S. B., Shaw, Rabindra Nath, Ghosh, Ankush, Aggarwal, Sambhav·2022·Studies in Computational Intelligence

Integrity signals

Registry

Crossref · 10.1007/978-981-16-7498-3_12

Cites

43 of 43 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

1 retracted

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Rajawat, A. S., Bedi, P., Goyal, S. B., Shaw, R. N., Ghosh, A., & Aggarwal, S.
Affiliations
  • Shri Vaishnav Vidyapeeth Vishwavidyalaya, Indore (IN)
  • Lingaya's Vidyapeeth (IN)
  • City University Malaysia (MY)
  • Galgotias University (IN)
  • The Neotia University (IN)
Corresponding author
Shaw, Rabindra Nath
Venue
Studies in Computational Intelligence
Published
2022
Pages
185-198
ISSN
  • 1860-949X (ISSN-L)
  • 1860-9503
OpenAlex
W4206490165
Cited by
46
References
43
Citations by year
2026: 3 · 2025: 13 · 2024: 18 · 2023: 5 · 2022: 7
FWCI
28.34
Type
book chapter
Language
en
Open access
closed
Locations
Studies in computational intelligence (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
  • Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
Keywords
blockchain, artificial intelligence, healthcare data security, smart cities, Internet of Things, health data management, data immutability, decentralized data management, privacy preservation, access control, data sharing

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.

What counts as a claim ›How we measure confidence ›How we check this ›

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