基于生物识别技术的人体传感器网络新型密钥分发解决方案。
Biometrics based novel key distribution solution for body sensor networks.
作者信息
Miao Fen, Jiang Lei, Li Ye, Zhang Yuan-Ting
机构信息
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518067, China.
出版信息
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:2458-61. doi: 10.1109/IEMBS.2009.5334698.
The security of wireless body sensor network (BSN) is very important to telemedicine and m-healthcare, and it still remains a critical challenge. This paper presents a novel key distribution solution which allows two sensors in one BSN to agree on a changeable cryptographic key. A previously published scheme, fuzzy vault, is firstly applied to secure the random cryptographic key generated from electrocardiographic (ECG) signals. Simulations based on ECG data from MIT PhysioBank database, produce a minimum half total error rate (HTER) of 0.65%, which demonstrates our key distribution solution is promising compared with previous method, with HTER of 4.26%.
无线人体传感器网络（BSN）的安全性对远程医疗和移动医疗保健非常重要，并且仍然是一个关键挑战。本文提出了一种新颖的密钥分发解决方案，该方案允许一个BSN中的两个传感器就一个可变的加密密钥达成一致。首先应用先前发表的模糊保险库方案来保护从心电图（ECG）信号生成的随机加密密钥。基于麻省理工学院生理信号数据库的心电图数据进行的模拟产生了0.65%的最小半总错误率（HTER），这表明我们的密钥分发解决方案与先前方法相比很有前景，先前方法的HTER为4.26%。
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