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随机无线网络中干扰协助下的安全通信

发布时间:2018-01-31 12:54

  本文关键词: 干扰 安全图 随机几何 无线网络 出处:《西安电子科技大学》2014年硕士论文 论文类型:学位论文


【摘要】:基于密码学的无线网络安全体系一般忽略无线媒介的物理特性和节点的空间位置,但这两个因素直接影响节点之间通信的安全性。因此,合理利用无线媒介和节点空间位置的固有随机性能够显著提高无线网络物理层的安全性。近年来,有关无线信道的信息论安全的研究日新月异,但这些研究最大的局限性在于只考虑少量节点的情形,为了分析由大量合法节点和窃听者节点组成的大规模网络,文献[13]和[1][14]分别从几何和信息论的观点引入了安全通信图即iS-graph,它是描述随机无线网络中安全链路的一种随机图,图中的安全链路利用无线媒介的物理特性建立。iS-graph的安全容量可以通过增加可控干扰以降低窃听者端的信号与干扰加噪声比(SINR)来实现。此时,干扰对无线网络安全而言变成了一种有效资源。合法的通信双方可以利用干扰来增加窃听者的噪声,从而提高合法用户信道的安全速率,且相应的干扰策略有多种。受信息论安全和协作干扰技术的启发,本文研究随机无线网络中机密信息的传输,并在iS-graph的基础上提出一种干扰协助的安全通信图模型,命名为jS-graph。该模型中合法节点在协作干扰节点的帮助下实现安全通信。接下来分别讨论了协议模型和阈值模型下jS-graph的安全属性,研究结果表明,与无协作干扰的iS-graph相比,j S-graph能取得显著的安全增益,即说明合适的协作干扰能够显著地提高随机无线网络的安全通信能力。最后文章又提出了一种新的干扰策略,其可适用于随机无线网络中窃听者位置信息未知的情形,该策略解决了现实通信过程中窃听者信息并不总是可用的问题。文章结果有助于分析窃听者和协作干扰对无线网络安全性的影响。
[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.
【学位授予单位】:西安电子科技大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TN918

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