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Feasibility analysis of Inter-Pulse Intervals based solutions for cryptographic token generation by two electrocardiogram sensors

机译:基于脉冲间隔的两个心电图传感器生成密码令牌的解决方案的可行性分析

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In this paper we address the problem of how two devices that are sensing the same heart signal can generate the same cryptographic token by extracting them from the Inter-Pulse Intervals (IPIs) of each cardiac signal. Our analysis is based on the use of a run-time monitor, which is extracted from a formal model and verified against predefined properties, combined with a fuzzy extractor to improve the final result. We first show that it is impossible, in general, to correct the differences between the IPIs derived from two captured electrocardiogram (ECG) signals when using only error correction techniques, thus being impossible to corroborate previous claims on the feasibility of this approach. Then, we provide a large-scale evaluation of the proposed method (run-time monitor and fuzzy extractor) over 19 public databases from the Physionet repository containing heart signals. The results clearly show the practicality of our proposal achieving a 91% of synchronization probability for healthy individuals. Additionally, we also conduct an experiment to check how long the sensors should record the heart signal in order to generate tokens of 32, 64 and 128 bits. Contrarily to what it is usually assumed (6, 12, and 24 s for individuals with a heart rate of 80 beats-per-minute), the sensors have to wait 13, 28 and 56.5 s on median, respectively, to derive the same token from both sensors. (C) 2019 Elsevier B.V. All rights reserved.
机译:在本文中,我们解决了这样一个问题:两个感应相同心脏信号的设备如何通过从每个心脏信号的脉冲间隔(IPI)中提取它们来生成相同的加密令牌。我们的分析基于运行时监控器的使用,该运行时监控器从形式模型中提取并针对预定义属性进行验证,并与模糊提取器结合使用以改善最终结果。我们首先显示,仅使用纠错技术时,通常不可能校正从两个捕获的心电图(ECG)信号得出的IPI之间的差异,因此不可能证实先前关于该方法可行性的主张。然后,我们从Physionet存储库中包含心脏信号的19个公共数据库中对提出的方法(运行时监视程序和模糊提取器)进行了大规模评估。结果清楚地表明,我们的建议对健康个体实现91%的同步概率的实用性。此外,我们还进行了一项实验,以检查传感器应记录心脏信号多长时间,以便生成32位,64位和128位的令牌。与通常的假设相反(对于心律为每分钟80次的个人,分别为6、12和24秒),传感器必须分别在中值上等待13、28和56.5秒才能得出相同的结果。来自两个传感器的令牌。 (C)2019 Elsevier B.V.保留所有权利。

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