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

Yu Jie Jessica Kuo*, Jiann Cherng Shieh

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationICMHI 2023 - 2023 the 7th International Conference on Medical and Health Informatics
PublisherAssociation for Computing Machinery
Pages112-117
Number of pages6
ISBN (Electronic)9798400700712
DOIs
Publication statusPublished - 2023 May 12
Event7th International Conference on Medical and Health Informatics, ICMHI 2023 - Kyoto, Japan
Duration: 2023 May 122023 May 14

Publication series

NameACM International Conference Proceeding Series

Conference

Conference7th International Conference on Medical and Health Informatics, ICMHI 2023
Country/TerritoryJapan
CityKyoto
Period2023/05/122023/05/14

Keywords

  • Data Security
  • PUF
  • Patient Health Cards
  • Patient-Oriented

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

Fingerprint

Dive into the research topics of 'Implement Seven Patient-Oriented Data Security Metrics using Unclonable Health Insurance Cards'. Together they form a unique fingerprint.

Cite this