Zhang G H, Poon Carmen C Y, Zhang Y T
Computing Technology, Chinese Academy of Sciences (CAS), Graduate University of Chinese Academy of Sciences, CAS/CUHK Research Center for Biosensors and Medical Instruments, Institute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology (SIAT), CAS, China.
Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:2034-6. doi: 10.1109/IEMBS.2010.5626783.
Body sensor networks (BSNs) have emerged as a new technology for healthcare applications, but the security of communication in BSNs remains a formidable challenge yet to be resolved. The paper discusses the typical attacks faced by BSNs and proposes a fast biometric based approach to generate keys for ensuing confidentiality and authentication in BSN communications. The approach was tested on 900 segments of electrocardiogram. Each segment was 4 seconds long and used to generate a 128-bit key. The results of the study found that entropy of 96% of the keys were above 0.95 and 99% of the hamming distances calculated from any two keys were above 50 bits. Based on the randomness and distinctiveness of these keys, it is concluded that the fast biometric based approach has great potential to be used to secure communication in BSNs for health applications.
人体传感器网络（BSNs）已成为一种用于医疗保健应用的新技术，但BSNs中的通信安全仍然是一个有待解决的巨大挑战。本文讨论了BSNs面临的典型攻击，并提出了一种基于快速生物特征的方法来生成密钥，以确保BSNs通信中的保密性和认证。该方法在900段心电图上进行了测试。每段时长4秒，用于生成一个128位的密钥。研究结果发现，96%的密钥熵高于0.95，从任意两个密钥计算出的汉明距离99%高于50位。基于这些密钥的随机性和独特性，得出结论：基于快速生物特征的方法在保障用于健康应用的BSNs通信安全方面具有巨大的应用潜力。
