{
  "abstract": "The advent of Internet of Medical Things (IoMT) has made it necessary to exchange electronic health records (EHRs) across distributed healthcare entities in a manner that ensures their authentication and preserves patients’ privacy. This paper proposes the Federated and Blockchain-enabled Electronic Health Record (FBEHR) framework whose major contribution is the Improved Universal Designated Verifier Signature Proof (IUDVSP). Different from all other pairing-based UDVSP schemes, the suggested solution uses elliptic curve arithmetic compatible with ECDSA to ensure signer authenticity, designated-verifier privacy, and verification control without employing bilinear pairings. According to our experiments in the × 86 edge-server environment, IUDVSP takes 0.22 ms to generate signatures and 0.28 ms to verify them. While these results are below 2-4 ms that we take as the cost of one pairing operation in the adopted reference architecture, they are not the result of a direct same-platform performance comparison of the suggested algorithm with a complete pairing-based UDVSP protocol. The framework also features blockchain-based EHR registration, validation, access, revocation and federated ANN-LSTM-based malicious-user detection. In an internal evaluation of the suggested system, activation of edge processing results in the mean registration and validation latency reduction from 9.87 to 3.59 s which corresponds to the 62.76% latency improvement relative to the same framework but without edge processing. Performance of the FBEHR relative to existing baselines is similar; thus, the primary benefit of FBEHR is its pairing-free designated-verifier security, not latency improvement over those systems. An estimation of the total cost of ownership for a month-long period of FBEHR deployment gives us USD 1850 for the considered FBEHR architecture and USD 12,500 for the same architecture but centralized. This difference of 85.2% is calculated based on a model and is not the experimental performance cost reduction.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": null,
  "author_total": 7,
  "authors": [
    {
      "name": "Gurpreet Singh Chhabra"
    },
    {
      "name": "Abhijeet Mahapatra"
    },
    {
      "name": "Kaushik Mishra"
    },
    {
      "name": "Goluguri N. V. Rajareddy"
    },
    {
      "name": "Santosh Kumar Majhi"
    },
    {
      "name": "Gaurav Sarma"
    },
    {
      "name": "Premananda Sahu"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/36w04ff4ffg11.bib",
  "cited_by": 0,
  "doi": "10.1038/s41598-026-77090-8",
  "fulltext_url": null,
  "id": "36w04ff4ffg11",
  "issns": [
    "2045-2322"
  ],
  "landing_url": "https://www.nature.com/articles/s41598-026-77090-8",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "1710|Blockchain Technology Applications and Security"
    ]
  ],
  "openalex": "W7224098925",
  "pdf_url": null,
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-28",
  "publisher": "Springer Science and Business Media LLC",
  "ris": "https://research.draconitic.com/paper/36w04ff4ffg11.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:34Z",
      "native_id": "10.1038/s41598-026-77090-8",
      "source": "crossref",
      "url": "https://www.nature.com/articles/s41598-026-77090-8"
    }
  ],
  "subjects": [],
  "title": "Toward trustworthy IoMT healthcare: federated learning and verifiable blockchain for secure edge-driven EHR systems",
  "title_text": "Toward trustworthy IoMT healthcare: federated learning and verifiable blockchain for secure edge-driven EHR systems",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:17:34Z",
  "url": "https://research.draconitic.com/paper/36w04ff4ffg11",
  "venue": "Scientific Reports",
  "versions": []
}