本文選題：無線體域網(wǎng) + 生理參數(shù)�。� 參考：《電子科技大學(xué)》2014年碩士論文

【摘要】：如何利用人體生理參數(shù)進(jìn)行數(shù)據(jù)加密和消息認(rèn)證是目前的一個(gè)熱門研究方向。無線體域網(wǎng)(WBAN)具有與傳統(tǒng)無線通信網(wǎng)絡(luò)所不同的特征,如節(jié)點(diǎn)計(jì)算能力弱,功耗低,通信距離短,無線體域網(wǎng)網(wǎng)絡(luò)拓?fù)浜唵?承載的業(yè)務(wù)敏感,限制了常規(guī)安全機(jī)制的有效應(yīng)用,但又因?yàn)闊o線體域網(wǎng)是針對不同個(gè)體的人身上的通信,每個(gè)人的生理特征有細(xì)微的差別,因此,如何利用人體生理參數(shù)的個(gè)體差異設(shè)計(jì)適用于WBAN的安全機(jī)制與安全協(xié)議就顯得特別意義。本文對WBAN的安全通信進(jìn)行研究,主要工作有:1.以新的角度簡介無線體域網(wǎng)的概念,闡述了IEEE 802.15.6關(guān)于無線體域網(wǎng)的物理層通信的定義以及安全等級的定義,回顧了國內(nèi)外關(guān)于無線體域網(wǎng)的研究現(xiàn)狀,總結(jié)了WBAN所面臨的安全性問題,以及傳統(tǒng)的生理加密技術(shù)以及它們的局限。2.分析了無線體域網(wǎng)以及網(wǎng)絡(luò)節(jié)點(diǎn)的特征,將當(dāng)今主流的安全體制,數(shù)據(jù)加密算法,消息認(rèn)證方式進(jìn)行了對比,通過分析提出基于人體生理數(shù)據(jù)提取構(gòu)建對稱密密鑰共享安全信道的適合無線體域網(wǎng)的安全通信構(gòu)想。3.總結(jié)了可用于無線體域網(wǎng)的生理參數(shù),通過分析選擇心脈間隔作為合適的生理參數(shù)并對心脈間隔進(jìn)行了模型分析、特征提取電路系統(tǒng)的設(shè)計(jì)以及實(shí)際電路的制作。通過多個(gè)人體心脈間隔檢測實(shí)驗(yàn),獲得較大量的數(shù)據(jù)樣本,并引入K-S檢測法對樣本分布進(jìn)行檢測,首次發(fā)現(xiàn)心脈間隔差異呈似高斯分布。4.根據(jù)基于生理參數(shù)的隨機(jī)比特?cái)?shù)據(jù)生成模型和具體方法,獲得了新的密鑰產(chǎn)生方式。通過對本文采集的樣本隨機(jī)數(shù)進(jìn)行的密碼學(xué)分析,得出基于心脈間隔差異產(chǎn)生的隨機(jī)數(shù)序列具有‘0’與‘1’個(gè)數(shù)非常接近、線性復(fù)雜度均值在序列半長附近的實(shí)驗(yàn)結(jié)論。此外,對于128比特長的生理隨機(jī)序列,同一個(gè)人同一時(shí)間不同部位所產(chǎn)生的隨機(jī)序列的漢明距離絕大多數(shù)都小于10,而在同一個(gè)人不同時(shí)間相同部位,或者不同人相同時(shí)間相同部位,所產(chǎn)生的隨機(jī)序列的漢明距離基本都分布在范圍40-85之間。由此本文得出結(jié)論,利用心脈間隔差異獲得的隨機(jī)比特序列具有很好的隨機(jī)性和同時(shí)間不同人體部位的良好一致性,從而適合作為安全WBAN的密鑰參數(shù)應(yīng)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.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TN918.4

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