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Wireless physical layer key generation with improved bit disagreement for the internet of things using moving window averaging

机译:无线物理层密钥生成,使用移动窗口平均改进了物联网的有关Internet的比特分歧

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摘要

Achieving information security in the Internet of things (IoT) by means of physical layer key generation is an open research area. In the key generation, the secret key is generated using the physical (PHY) layer characteristics of the communication channel as a source of randomness. IoT networks are characterized as noisy & heterogeneous networks with lower transmission power. In this paper, we propose a wireless secret key generation approach by pre-processing the received signal strength indicator (RSSI) of beacons exchanged between Alice and Bob using moving window averaging (MWA). Our proposed approach has significant improvement in performance, at lower SNR range. The size of the moving window is selected on the basis of improvement in the standard deviation of the RSSI pattern. It is also suggested to quantize the pre-processed RSS samples through Lloyd-Max based quantizer to minimize quantization error, which further improves bit disagreement (BDR). It is clear from results that the proposed approach has considerable improvement in bit disagreement rate (BDR) at low SNR by applying the selected window size. The performance of the proposed approach is also evaluated by performing randomness testing of the generated keys using National Institute of Standards and Technology (NIST) test set for randomness. (C) 2019 Elsevier B.V. All rights reserved.
机译:通过物理层密钥生成实现信息安全性(IOT)的信息安全是一个开放的研究区域。在密钥生成中,使用通信信道的物理(PHY)层特征生成密钥作为随机性的源。 IOT网络的特征是具有较低传输功率的嘈杂和异构网络。在本文中,我们通过使用移动窗口平均(MWA)预处理在Alice和Bob之间交换的信标的信标和鲍勃的接收信号强度指示器(RSSI)提出了无线秘密密钥生成方法。我们所提出的方法在较低的SNR范围内具有显着提高。基于RSSI模式的标准偏差的改进来选择移动窗口的大小。还建议通过基于LLOODD-MAX的量化器来量化预处理的RSS样本,以最大限度地减少量化误差,这进一步提高了位分歧(BDR)。从结果中可以清楚地通过应用所选窗口大小来在低SNR处具有相当大的改进比特分歧率(BDR)。通过使用国家标准和技术研究所(NIST)试验组进行随机性,还通过对所生成的钥匙进行随机性测试来评估所提出的方法的性能。 (c)2019 Elsevier B.v.保留所有权利。

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