一种用于保障远程医疗系统安全的生物识别方法。

A biometric method to secure telemedicine systems.

作者信息

Zhang G H, Poon Carmen C Y, Li Ye, Zhang Y T

机构信息

Institute of Computing Technology, Chinese Academy of Sciences, Graduate University of Chinese Academy of Sciences, China.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:701-4. doi: 10.1109/IEMBS.2009.5332470.

DOI:10.1109/IEMBS.2009.5332470

PMID:19963468

Abstract

Security and privacy are among the most crucial issues for data transmission in telemedicine systems. This paper proposes a solution for securing wireless data transmission in telemedicine systems, i.e. within a body sensor network (BSN), between the BSN and server as well as between the server and professionals who have assess to the server. A unique feature of this solution is the generation of random keys by physiological data (i.e. a biometric approach) for securing communication at all 3 levels. In the performance analysis, inter-pulse interval of photoplethysmogram is used as an example to generate these biometric keys to protect wireless data transmission. The results of statistical analysis and computational complexity suggest that this type of key is random enough to make telemedicine systems resistant to attacks.

摘要

安全和隐私是远程医疗系统中数据传输最为关键的问题。本文提出了一种用于保障远程医疗系统中无线数据传输安全的解决方案，即在人体传感器网络（BSN）内部、BSN与服务器之间以及服务器与有权访问服务器的专业人员之间。该解决方案的一个独特之处在于利用生理数据生成随机密钥（即一种生物识别方法），以保障所有三个层面的通信安全。在性能分析中，以光电容积脉搏波的脉搏间期为例来生成这些生物识别密钥，以保护无线数据传输。统计分析和计算复杂度的结果表明，这类密钥具有足够的随机性，可使远程医疗系统抵御攻击。