TY - GEN
T1 - A Secure Anonymous Authentication Scheme for Electronic Medical Records Systems
AU - Lei, Wenjin
AU - Li, Yidong
AU - Sang, Yingpeng
AU - Shen, Hong
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/1/6
Y1 - 2017/1/6
N2 - Based on smart devices and wireless communication infrastructure, the Electronic Medical Records (EMR) systems become more and more popular in hospitals by reason of its convenient operation, remote access, data integrity, facilitated resources sharing, statistical analysis and many other advantages. When entering an EMR system, patients can be treated by many kinds of services and also leave their privacy to the providers. It is a viable method to protect a patient's privacy in EMR by anonymous authentication, where identity of the patient is verified without demonstrating the true identity to the authenticator. This paper proposes an enhanced secure anonymous authentication scheme, based on smart card and biometrics with key agreement. According to security analysis, our scheme is secure against many types of attacks, including those not prevented by previous work, such as the smart card loss attack and impersonation attack. The performance of our scheme is also analyzed and compared with previous work, which shows that our scheme is more efficient in the computation cost.
AB - Based on smart devices and wireless communication infrastructure, the Electronic Medical Records (EMR) systems become more and more popular in hospitals by reason of its convenient operation, remote access, data integrity, facilitated resources sharing, statistical analysis and many other advantages. When entering an EMR system, patients can be treated by many kinds of services and also leave their privacy to the providers. It is a viable method to protect a patient's privacy in EMR by anonymous authentication, where identity of the patient is verified without demonstrating the true identity to the authenticator. This paper proposes an enhanced secure anonymous authentication scheme, based on smart card and biometrics with key agreement. According to security analysis, our scheme is secure against many types of attacks, including those not prevented by previous work, such as the smart card loss attack and impersonation attack. The performance of our scheme is also analyzed and compared with previous work, which shows that our scheme is more efficient in the computation cost.
KW - Anonymous Authentication
KW - Biometrics
KW - Electronic Medical Record (EMR)
KW - Smart Cards
UR - http://www.scopus.com/inward/record.url?scp=85013059938&partnerID=8YFLogxK
U2 - 10.1109/ICEBE.2016.019
DO - 10.1109/ICEBE.2016.019
M3 - Conference contribution
AN - SCOPUS:85013059938
T3 - Proceedings - 13th IEEE International Conference on E-Business Engineering, ICEBE 2016 - Including 12th Workshop on Service-Oriented Applications, Integration and Collaboration, SOAIC 2016
SP - 48
EP - 55
BT - Proceedings - 13th IEEE International Conference on E-Business Engineering, ICEBE 2016 - Including 12th Workshop on Service-Oriented Applications, Integration and Collaboration, SOAIC 2016
A2 - Chung, Jen-Yao
A2 - Fei, Xiang
A2 - Cai, Hongming
A2 - Chung, Jen-Yao
A2 - Chao, Kuo-Ming
A2 - Guo, Jingzhi
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th IEEE International Conference on E-Business Engineering, ICEBE 2016
Y2 - 4 November 2016 through 6 November 2016
ER -