TY - GEN
T1 - Implement Seven Patient-Oriented Data Security Metrics using Unclonable Health Insurance Cards
AU - Kuo, Yu Jie Jessica
AU - Shieh, Jiann Cherng
N1 - Publisher Copyright:
© 2023 ACM.
PY - 2023/5/12
Y1 - 2023/5/12
N2 - 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.
AB - 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.
KW - Data Security
KW - PUF
KW - Patient Health Cards
KW - Patient-Oriented
UR - http://www.scopus.com/inward/record.url?scp=85178009575&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85178009575&partnerID=8YFLogxK
U2 - 10.1145/3608298.3608320
DO - 10.1145/3608298.3608320
M3 - Conference contribution
AN - SCOPUS:85178009575
T3 - ACM International Conference Proceeding Series
SP - 112
EP - 117
BT - ICMHI 2023 - 2023 the 7th International Conference on Medical and Health Informatics
PB - Association for Computing Machinery
T2 - 7th International Conference on Medical and Health Informatics, ICMHI 2023
Y2 - 12 May 2023 through 14 May 2023
ER -