ArticlePloS one2026
Ensuring end-to-end privacy in IoT-based healthcare systems through hyperledger fabric and identity mixer.
Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Healthcare information is often sensitive and confidential, and any unauthorized disclosure can jeopardize patient privacy. Centralized approaches currently used to protect patient information are vulnerable to a single point of failure and the risk of data breaches from central servers. Conversely, distributed blockchain-based methods tend to focus only on safeguarding data privacy for certain segments of the communication path from sensors to end users. This leaves a gap in methodologies that ensure both location and data privacy throughout the entire communication from sensors to healthcare data users via blockchain technology. In this paper, we propose using Hyperledger Fabric to ensure the immutability of patient data and to address the single point of failure issue. Additionally, to maintain end-to-end data and location privacy, our proposed scheme integrates the Idemix protocol suit alongside Hyperledger Fabric and employs a lightweight communication protocol for interactions between healthcare sensors and gateways. Compared to previous methods, our approach not only facilitates privacy features such as patient anonymity and untraceability but also guarantees data integrity, confidentiality, mutual authentication, and resilience against a variety of security threats, including collusion among internal entities. While the implementation of blockchain may introduce additional computational overhead for service providers compared to centralized systems, this trade-off is outweighed by the significant enhancements in security as evidenced by our analyses and evaluations.
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