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 12 → 2023 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 | 2023/05/12 → 2023/05/14 |
UN SDG
此研究成果有助於以下永續發展目標
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SDG 3 健康與福祉
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
指紋
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