人体生理参数的密码学特征提取与分析及其在安全WBAN中的应用

发布时间：2018-05-03 13:48

本文选题：无线体域网 + 生理参数　；参考：《电子科技大学》2014年硕士论文

【摘要】：如何利用人体生理参数进行数据加密和消息认证是目前的一个热门研究方向。无线体域网(WBAN)具有与传统无线通信网络所不同的特征,如节点计算能力弱,功耗低,通信距离短,无线体域网网络拓扑简单,承载的业务敏感,限制了常规安全机制的有效应用,但又因为无线体域网是针对不同个体的人身上的通信,每个人的生理特征有细微的差别,因此,如何利用人体生理参数的个体差异设计适用于WBAN的安全机制与安全协议就显得特别意义。本文对WBAN的安全通信进行研究,主要工作有:1.以新的角度简介无线体域网的概念,阐述了IEEE 802.15.6关于无线体域网的物理层通信的定义以及安全等级的定义,回顾了国内外关于无线体域网的研究现状,总结了WBAN所面临的安全性问题,以及传统的生理加密技术以及它们的局限。2.分析了无线体域网以及网络节点的特征,将当今主流的安全体制,数据加密算法,消息认证方式进行了对比,通过分析提出基于人体生理数据提取构建对称密密钥共享安全信道的适合无线体域网的安全通信构想。3.总结了可用于无线体域网的生理参数,通过分析选择心脉间隔作为合适的生理参数并对心脉间隔进行了模型分析、特征提取电路系统的设计以及实际电路的制作。通过多个人体心脉间隔检测实验,获得较大量的数据样本,并引入K-S检测法对样本分布进行检测,首次发现心脉间隔差异呈似高斯分布。4.根据基于生理参数的随机比特数据生成模型和具体方法,获得了新的密钥产生方式。通过对本文采集的样本随机数进行的密码学分析,得出基于心脉间隔差异产生的随机数序列具有‘0’与‘1’个数非常接近、线性复杂度均值在序列半长附近的实验结论。此外,对于128比特长的生理随机序列,同一个人同一时间不同部位所产生的随机序列的汉明距离绝大多数都小于10,而在同一个人不同时间相同部位,或者不同人相同时间相同部位,所产生的随机序列的汉明距离基本都分布在范围40-85之间。由此本文得出结论,利用心脉间隔差异获得的随机比特序列具有很好的随机性和同时间不同人体部位的良好一致性,从而适合作为安全WBAN的密钥参数应用。
[Abstract]:How to use human physiological parameters to encrypt data and authenticate messages is a hot research direction. WBANs are different from traditional wireless communication networks, such as weak computing power, low power consumption, short communication distance, simple topology and sensitive service. Which limits the effective application of conventional security mechanisms, but because wireless body-area networks are designed to communicate with people from different individuals, each person's physical characteristics vary slightly, so, How to make use of individual differences of human physiological parameters to design security mechanisms and protocols suitable for WBAN is of particular significance. This paper studies the secure communication of WBAN, the main work is: 1. This paper introduces the concept of wireless body area network from a new angle, expounds the definition of physical layer communication and the definition of security level of wireless body area network in IEEE 802.15.6, and reviews the research status of wireless body area network at home and abroad. This paper summarizes the security problems faced by WBAN, as well as the traditional physiological encryption techniques and their limitations. 2. 2. The characteristics of wireless body area network and network nodes are analyzed, and the main security system, data encryption algorithm and message authentication method are compared. Based on the analysis of human body physiological data extraction, a secure communication scheme for wireless body area network (WSNs) is proposed to construct a symmetric secret key sharing security channel. The physiological parameters that can be used in wireless body area network are summarized. The heart pulse interval is selected as the appropriate physiological parameter and the model of heart pulse interval is analyzed. The design of feature extraction circuit system and the making of actual circuit are also given. A large number of data samples were obtained through a number of human heart and pulse interval testing experiments, and K-S detection method was introduced to detect the distribution of the samples. For the first time, it was found that the difference of heart vein interval was Gao Si's distribution. 4. According to the model and method of generating random bit data based on physiological parameters, a new key generation method is obtained. Based on the cryptographic analysis of the random number of samples collected in this paper, it is concluded that the random number sequence based on the difference of cardiac pulse interval is very close to the number of 1', and the average linear complexity is near the half length of the sequence. In addition, for a physiological random sequence that is 128 times longer, the hamming distance of random sequences produced by different parts of the same person at the same time is mostly less than 10, while in the same person at different times and at the same part, Or different people at the same time and the same location, the resulting random sequence of hamming distance are basically distributed in the range of 40-85. It is concluded in this paper that the random bit sequences obtained by using the difference of heart and pulse spacing have good randomness and good consistency in different parts of human body at the same time, so it is suitable to be used as the key parameter of secure WBAN.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN918.4

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