Implement Seven Patient-Oriented Data Security Metrics using Unclonable Health Insurance Cards

Yu Jie Jessica Kuo*, Jiann Cherng Shieh

*此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

摘要

The healthcare system typically relies on health insurance cards. However, they can still be copied because they are not unique, like fingerprints. By combining unclonable health insurance cards with an algorithmic process, patients can achieve maximum performance in seven major data security metrics: storage security, confidentiality, integrity, availability, non-repudiation, privacy/ID verification, and access control. This study presents a set of algorithms that illustrate and validate how using an unclonable health insurance card can achieve these seven patient-oriented security key metrics. The unclonable health insurance card is like a personalized fingerprint card, which offers enhanced database and storage security through system algorithm authentication and data encryption for managing and querying patient information security.

原文英語
主出版物標題ICMHI 2023 - 2023 the 7th International Conference on Medical and Health Informatics
發行者Association for Computing Machinery
頁面112-117
頁數6
ISBN(電子)9798400700712
DOIs
出版狀態已發佈 - 2023 5月 12
事件7th International Conference on Medical and Health Informatics, ICMHI 2023 - Kyoto, 日本
持續時間: 2023 5月 122023 5月 14

出版系列

名字ACM International Conference Proceeding Series

會議

會議7th International Conference on Medical and Health Informatics, ICMHI 2023
國家/地區日本
城市Kyoto
期間2023/05/122023/05/14

ASJC Scopus subject areas

  • 人機介面
  • 電腦網路與通信
  • 電腦視覺和模式識別
  • 軟體

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