AI and Blockchain for Healthcare Data Security in Smart Cities
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Combining AI and blockchain produces a highly protected environment that can continue services to current and future users.
“Combined, they produce a highly protected environment that can continue their services to the current and future users incredibly [242, 243].”
From Federated learning-based AI approaches in smart healthcare: Concepts, taxonomies, challenges and open issues (2023) · cites this paper as [242]
Cites
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Rahman, A., Hossain, M. S., Muhammad, G., Kundu, D., Debnath, T., Rahman, M., Khan, M. S. I., Tiwari, P., & Band, S. S. (2023) · Cluster Computing · doi:10.1007/s10586-022-03658-4 · Cited by 399 · see citing works
- 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
- Publisher
- Springer Nature Singapore
- 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
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