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arXiv 1801.04473cs.CRcs.ITmath.IT
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信道耳语:一种物理层组密钥生成协议。反褶积在IR-UWB中的应用

Channel Whispering: a Protocol for Physical Layer Group Key Generation. Application to IR-UWB through Deconvolution

Iulia Tunaru, Benoît Denis, Régis Perrier, Bernard Uguen

摘要:

随着无线自组织和移动网络的出现,传输的数据变得更加敏感,信息安全措施应该利用所有可用的上下文资源来保护信息流。物理层安全框架提供用于在通信范围内的两个节点之间的单个链路上生成成对对称密钥的模型、算法和概念证明。在这项研究中,我们专注于多个脉冲无线电-超宽带(IR-UWB)信道的合作组密钥生成根据源模型。在以前的工作中提出的主要思想,包括在生成接收器特定的信号,也称为S-信号,使得只有预期的接收器可以访问对应于其非相邻链路的不可观察的信道。在这里,我们完成了所提出的协议的分析,并调查几个信号处理算法来生成的S-信号表示为一个解卷积问题的情况下,IR-UWB。我们的研究结果表明,它是强制性的添加一个参数化的约束,搜索的s-信号和期望最大化算法可以提供一个稳定的自参数化的解决方案。与物理层密钥分发方法相比,所提出的密钥生成协议对于小型协作组需要更少的流量开销,同时在中高信噪比下具有鲁棒性。

英文摘要:

As wireless ad hoc and mobile networks are emerging and the transferred data become more sensitive, information security measures should make use of all the available contextual resources to secure information flows. The physical layer security framework provides models, algorithms, and proofs of concept for generating pairwise symmetric keys over single links between two nodes within communication range. In this study, we focus on cooperative group key generation over multiple Impulse Radio - Ultra Wideband (IR-UWB) channels according to the source model. The main idea, proposed in previous work, consists in generating receiver-specific signals, also called s-signals, so that only the intended receiver has access to the non-observable channels corresponding to its non-adjacent links. Herein, we complete the analysis of the proposed protocol and investigate several signal processing algorithms to generate the s-signal expressed as a solution to a deconvolution problem in the case of IR-UWB. Our findings indicate that it is compulsory to add a parameterizable constraint to the searched s-signal and that the Expectation-Maximization algorithm can provide a stable self-parameterizable solution. Compared to physical layer key distribution methods, the proposed key generation protocol requires less traffic overhead for small cooperative groups while being robust at medium and high signal-to-noise ratios.

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