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Towards design and implementation of security and privacy framework for Internet of Medical Things (IoMT) by leveraging blockchain and IPFS technology
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In the citing paper
“In the IoT-based healthcare system, several attacks can hamper the total loss of the system.”
From Federated learning-based AI approaches in smart healthcare: Concepts, taxonomies, challenges and open issues (2023) · cites this paper as [199]
In the citing paper
“Preference, side-channel attack [198], data duplication using the tag, physical hampering of the sensor devices, or sensor tracking are some of the attacks that may cause issues in the perception layer [199].”
From Federated learning-based AI approaches in smart healthcare: Concepts, taxonomies, challenges and open issues (2023) · cites this paper as [199]
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Metadata
- Authors
- Kumar, R., & Tripathi, R.
- Affiliations
- National Institute of Technology Raipur (IN)
- Corresponding author
- Kumar, Randhir
- Venue
- The Journal of Supercomputing
- Published
- 2021-01-12
- Volume
- 77
- Issue
- 8
- Pages
- 7916-7955
- ISSN
- 0920-8542 (ISSN-L)
- 1573-0484
- OpenAlex
- W3120480193
- Cited by
- 177
- References
- 56
- Citations by year
- 2026: 6 · 2025: 33 · 2024: 41 · 2023: 50 · 2022: 37 · 2021: 10
- FWCI
- 31.19
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Journal of Supercomputing (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 › Computer Networks and Communications › IoT and Edge/Fog Computing
- Keywords
- Internet of Medical Things, healthcare data security, patient privacy, consortium blockchain, smart contracts, IPFS, distributed storage, patient authentication
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