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隨機無線網(wǎng)絡中干擾協(xié)助下的安全通信

發(fā)布時間:2018-01-31 12:54

  本文關鍵詞: 干擾 安全圖 隨機幾何 無線網(wǎng)絡 出處:《西安電子科技大學》2014年碩士論文 論文類型:學位論文


【摘要】:基于密碼學的無線網(wǎng)絡安全體系一般忽略無線媒介的物理特性和節(jié)點的空間位置,但這兩個因素直接影響節(jié)點之間通信的安全性。因此,合理利用無線媒介和節(jié)點空間位置的固有隨機性能夠顯著提高無線網(wǎng)絡物理層的安全性。近年來,有關無線信道的信息論安全的研究日新月異,但這些研究最大的局限性在于只考慮少量節(jié)點的情形,為了分析由大量合法節(jié)點和竊聽者節(jié)點組成的大規(guī)模網(wǎng)絡,文獻[13]和[1][14]分別從幾何和信息論的觀點引入了安全通信圖即iS-graph,它是描述隨機無線網(wǎng)絡中安全鏈路的一種隨機圖,圖中的安全鏈路利用無線媒介的物理特性建立。iS-graph的安全容量可以通過增加可控干擾以降低竊聽者端的信號與干擾加噪聲比(SINR)來實現(xiàn)。此時,干擾對無線網(wǎng)絡安全而言變成了一種有效資源。合法的通信雙方可以利用干擾來增加竊聽者的噪聲,從而提高合法用戶信道的安全速率,且相應的干擾策略有多種。受信息論安全和協(xié)作干擾技術的啟發(fā),本文研究隨機無線網(wǎng)絡中機密信息的傳輸,并在iS-graph的基礎上提出一種干擾協(xié)助的安全通信圖模型,命名為jS-graph。該模型中合法節(jié)點在協(xié)作干擾節(jié)點的幫助下實現(xiàn)安全通信。接下來分別討論了協(xié)議模型和閾值模型下jS-graph的安全屬性,研究結果表明,與無協(xié)作干擾的iS-graph相比,j S-graph能取得顯著的安全增益,即說明合適的協(xié)作干擾能夠顯著地提高隨機無線網(wǎng)絡的安全通信能力。最后文章又提出了一種新的干擾策略,其可適用于隨機無線網(wǎng)絡中竊聽者位置信息未知的情形,該策略解決了現(xiàn)實通信過程中竊聽者信息并不總是可用的問題。文章結果有助于分析竊聽者和協(xié)作干擾對無線網(wǎng)絡安全性的影響。
[Abstract]:Cryptography-based wireless network security architecture generally ignores the physical characteristics of wireless media and the spatial location of nodes, but these two factors directly affect the security of communication between nodes. Reasonable use of the inherent randomness of wireless media and node space position can significantly improve the security of the physical layer of wireless networks. In recent years, the research on information security of wireless channels is changing with each passing day. But the biggest limitation of these studies is to consider only a small number of nodes. In order to analyze a large network of legal nodes and eavesdropper nodes, the literature. [13] and. [1]. [From the point of view of geometry and information theory, the secure communication graph (iS-graph) is introduced, which is a random graph describing secure links in random wireless networks. The secure link in the diagram uses the physical properties of the wireless media to establish the security capacity of .iS-graph, which can reduce the signal-to-interference / noise ratio of the eavesdropper by increasing controllable interference. To make it happen. Interference has become an effective resource for wireless network security. Legitimate communication parties can use interference to increase the noise of eavesdroppers and thus improve the security rate of legitimate user channels. And the corresponding interference strategies are various. Inspired by information theory security and cooperative interference technology, this paper studies the transmission of confidential information in random wireless networks. On the basis of iS-graph, a security communication graph model of interference assistance is proposed. Named jS-graph. in this model, legal nodes can communicate safely with the help of cooperative interference nodes. Then, the security properties of jS-graph under the protocol model and threshold model are discussed respectively. The results show that compared with the iS-graph without cooperative interference, the JS-graph can achieve a significant security gain. That is to say, the appropriate cooperative interference can significantly improve the security communication capability of random wireless networks. Finally, a new jamming strategy is proposed in this paper. It can be applied to the situation where the eavesdropper location information is unknown in random wireless networks. This strategy solves the problem that eavesdropping information is not always available in real communication. The results of this paper are helpful to analyze the influence of eavesdroppers and cooperative interference on the security of wireless networks.
【學位授予單位】:西安電子科技大學
【學位級別】:碩士
【學位授予年份】:2014
【分類號】:TN918

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