无线体域网中基于生理特征的数据安全传输研究

发布时间：2018-05-08 09:26

本文选题：安全传输 + 心电　；参考：《宁波大学》2017年硕士论文

【摘要】：随着物联网技术的不断发展,无线体域网(WBAN)在远程医疗、移动医疗等方面的发展已经日趋生活化,得到业界的广泛关注。目前而言,关于无线体域网的相关研究方向主要集中在路由协议、能量消耗等方面,而对于无线体域网中的数据安全传输方面的研究涉及甚少。由于无线体域网是通过无线网络的方式传输与人体生理信息相关的重要隐私数据,因此,极容易受到非法用户的攻击,致使无线体域网的数据安全传输问题成为阻碍无线体域网发展的重要挑战之一。因此,本文在远程医疗应用背景下,研究了无线体域网关于数据安全方面的研究现状,提出了一套数据安全传输方案——基于生理特征的数据安全传输机制,并进行了相关方面的处理、探讨及论证,本文主要进行了以下三方面工作:(1)由于心电信号本身十分微弱,原始的心电信号中包含了各种噪声干扰,本文采用软件算法的方式在智能手机上实现对心电信号中干扰因素的去除,主要是基线漂移和工频干扰两种干扰的去除工作,效果良好。(2)为了证明心电特征具有唯一性的特点,本文通过两种方法:奇异值分解和矩阵的相异度,结合小波分解的方法来提取心电信号中的特征参数,分别进行了仿真实验,结合相关文献,最终证明心电信号是具备唯一性,是可以作为身份识别和密钥管理的有效手段。(3)设计了一种基于Shamir门限和Fuzzy Commitment模糊承诺方案的安全传输方案。并在本方案中加入了具备较高识别度的身份认证方案,实现了生物特征信息作为密钥的数据安全传输方案,并对比了其他加密的方案,显示了本方案的高安全性。
[Abstract]:With the continuous development of Internet of things (IoT) technology, WBANs (Wireless body area Network) in telemedicine, mobile medicine and other aspects of the development has become increasingly life, has been widely concerned by the industry. At present, the research direction of wireless body area network is mainly focused on routing protocol, energy consumption and so on, but there is little research on data security transmission in wireless body area network. Wireless body area network (WSNs) is a kind of important privacy data related to human physiological information transmitted through wireless network, so it is vulnerable to attack by illegal users. As a result, the secure transmission of wireless body area network becomes one of the most important challenges to the development of wireless body area network. Therefore, under the background of telemedicine application, this paper studies the research status of data security in wireless body area network, and puts forward a data security transmission scheme, which is based on physiological characteristics. And has carried on the correlation aspect processing, the discussion and the demonstration, this article has mainly carried on the following three aspects of work: 1) because the ECG signal itself is very weak, the original ECG signal contains various kinds of noise interference, In this paper, software algorithm is used to remove the interference factors of ECG signal on smart phone, which is mainly the removal of baseline drift and power frequency interference, and the effect is good in order to prove the uniqueness of ECG features. In this paper, we use two methods: singular value decomposition (SVD) and difference degree of matrix (SVD) and wavelet decomposition (WT) to extract the characteristic parameters of ECG signal. The simulation experiments are carried out respectively. Combined with relevant literature, it is proved that ECG signal is unique. This paper presents a secure transmission scheme based on Shamir threshold and Fuzzy Commitment fuzzy commitment scheme. In this scheme, the authentication scheme with high recognition degree is added to realize the data security transmission scheme of biometric information as the key, and the comparison of other encryption schemes shows the high security of the scheme.
【学位授予单位】：宁波大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN92

【参考文献】