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Non-reciprocity compensation combined with turbo codes for secret key generation in vehicular ad hoc social IoT networks

机译:非互惠性补偿与Turbo码相结合,用于在车辆自组织社交IoT网络中生成密钥

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摘要

The physical attributes of the dynamic vehicle-to-vehicle (V2V) propagation channel can be utilised for the generation of highly random and symmetric cryptographic keys. However, in a physical-layer key agreement scheme, non-reciprocity due to inherent channel noise and hardware impairments can propagate bit disagreements. This has to be addressed prior to the symmetric key generation which is inherently important in social Internet of Things (IoT) networks, including in adversarial settings (e.g. battlefields). In this paper, we parametrically incorporate temporal variability attributes, such as three-dimensional (3D) scattering and scatterers’ mobility. Accordingly, this is the first work to incorporate such features into the key generation process by combining non-reciprocity compensation with turbo codes. Preliminary results indicate a significant improvement when using Turbo Codes in bit mismatch rate (BMR) and key generation rate (KGR) in comparison to sample indexing techniques.
机译:动态的车辆到车辆(V2V)传播通道的物理属性可以用于生成高度随机和对称的加密密钥。但是,在物理层密钥协商方案中,由于固有的信道噪声和硬件缺陷引起的不可逆性会传播位冲突。这必须在对称密钥生成之前解决,对称密钥生成在社交物联网(IoT)网络中固有地很重要,包括在对抗环境(例如战场)中。在本文中,我们在参数上结合了时间变异性属性,例如三维(3D)散射和散射体的迁移率。因此,这是通过将非互易性补偿与Turbo码相结合而将此类功能纳入密钥生成过程的第一项工作。初步结果表明,与样本索引技术相比,使用Turbo码在位不匹配率(BMR)和密钥生成率(KGR)方面有了显着改善。

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