An Authentication Model based Fingerprint Recognition for Electronic Medical Records System


The KIPS Transactions:PartC, Vol. 18, No. 6, pp. 379-388, Dec. 2011
10.3745/KIPSTC.2011.18.6.379,   PDF Download:

Abstract

Ensuring the security of medical records is becoming an increasingly important problem as modern technology is integrated into existing medical services. As a consequence of the adoption of EMR(Electronic Medical Records) in the health care sector, it is becoming more and more common for a health professional to edit and view a patient`s record. In order to protect the patient`s privacy, a secure authentication model to access the electronic medical records system must be used. A traditional identity based digital certificate for the authenticity of EMR has private key management and key escrow of a user`s private key. In order to protect the EMR, The traditional authentication system is based on the digital certificate. The identity based digital certificate has many disadvantages, for example, the private key can be forgotten or stolen, and can be easily escrow of the private key. Nowadays, authentication model using fingerprint recognition technology for EMR has become more prevalent because of the advantages over digital certificate -based authentication model. Because identity-based fingerprint recognition can eliminate disadvantages of identity-based digital certificate, the proposed authentication model provide high security for access control in EMR.


Statistics
Show / Hide Statistics

Statistics (Cumulative Counts from September 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article
[IEEE Style]
Y. J. Lee, "An Authentication Model based Fingerprint Recognition for Electronic Medical Records System," The KIPS Transactions:PartC, vol. 18, no. 6, pp. 379-388, 2011. DOI: 10.3745/KIPSTC.2011.18.6.379.

[ACM Style]
Yong Joon Lee. 2011. An Authentication Model based Fingerprint Recognition for Electronic Medical Records System. The KIPS Transactions:PartC, 18, 6, (2011), 379-388. DOI: 10.3745/KIPSTC.2011.18.6.379.