A Trustworthy Decentralized System for Health Data Integration and Sharing: Design and Experimental Validation

Ruichen Cong, Yaping Ye, Jianlun Wu, Yuxi Li, Yuerong Chen, Yishan Bian, Kiichi Tago, Shoji Nishimura, Atsushi Ogihara, Qun Jin*

*この研究の対応する著者

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

Personal health data collected via wearable devices can be used for sharing and utilization to provide smart healthcare services. Since personal health data involves sensitive information, it is necessary to require a secure way to manage and use data with the consent of each individual. To integrate and share health data securely, many frameworks using federated learning and blockchain-based system have been proposed. However, the issues of ensuring data ownership and enhancing privacy protection remain to be solved. In this paper, we propose a trustworthy system for health data integration and sharing enabled by decentralized federated learning. We describe the major functions and features, including health data integration, doubling data ownership, data analysis via decentralized federated learning, and incentive mechanisms. We further introduce the experiment and assume two application scenarios for sharing and utilization of personal health data and visualization feedback to users. Various types of health data are collected and integrated into the system with decentralized data analysis while sharing results and models and reducing data transmission for privacy-preserving. The proposed system can be expected to provide an effective way to integrate and analyze personal health data for personalized smart healthcare.

本文言語English
ホスト出版物のタイトルHCI for Cybersecurity, Privacy and Trust - 5th International Conference, HCI-CPT 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings
編集者Abbas Moallem
出版社Springer Science and Business Media Deutschland GmbH
ページ125-134
ページ数10
ISBN(印刷版)9783031358210
DOI
出版ステータスPublished - 2023
イベント5th International Conference on HCI for Cybersecurity, Privacy and Trust, HCI-CPT 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023 - Copenhagen, Denmark
継続期間: 2023 7月 232023 7月 28

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
14045 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Conference

Conference5th International Conference on HCI for Cybersecurity, Privacy and Trust, HCI-CPT 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023
国/地域Denmark
CityCopenhagen
Period23/7/2323/7/28

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータサイエンス一般

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