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PowerKey: Generating Secret Keys from Power Line Electromagnetic Interferences

机译:PowerKey:从电源线电磁干扰产生秘密键

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With the increasing adoption of Internet-of-Things devices, autonomously securing device-to-device communications with minimal human efforts has become mandated. While recent studies have leveraged ambient signals (i.e., amplitude of voltage harmonics) in a building's power networks to secure plugged IoT devices, a key limitation is that the exploited signals are consistent only among nearby outlets, thus resulting in a low key matching rate when devices are far from each other. In this paper, we propose PowerKey to generate secret keys for multiple plugged IoT devices in an electrical domain (e.g., a lab or an office suite). Concretely, PowerKey taps into ambient power line electromagnetic interferences (EMI): there exist multiple spatially unique EMI spikes whose frequencies vary randomly but also remain consistent at participating power outlets to which IoT devices are connected. We propose K-means clustering to locate common EMI spikes offline at participating outlets and then dynamically extract secret keys at runtime. For evaluation, we conduct experiments in two different locations-one research lab and one suite with multiple rooms. We show that with PowerKey, multiple devices can successfully obtain symmetric secret keys in a robust and reasonably fast manner (i.e., 100% successful at a bit generation rate of up to 52.7 bits/sec).
机译:随着采用互联网的信息,自主地保护设备到设备的设备,具有最小的人类努力。虽然最近的研究已经利用了建筑物的电网中的环境信号(即电压谐波的幅度)以固定插入的物联网设备,但是一个关键的限制是利用信号仅在附近的插座之间一致,因此导致低键匹配速率设备远离彼此。在本文中,我们提出了PowerKey在电域中的多个插入物联网设备生成秘密密钥(例如,实验室或办公室套件)。具体而言,PowerKey Taps进入环境电力线电磁干扰(EMI):存在多个空间独特的EMI尖峰,其频率随机变化,但在参与电源插座上也保持一致的是IoT设备连接的电源插座。我们提出K-Means群集以在参与的插座上离线地查找常见的EMI尖峰,然后在运行时动态提取密钥。为了评估,我们在两个不同地点的实验 - 一台研究实验室和一个带多个房间的一套套房。我们表明,通过PowerKey,多个设备可以以稳健和合理的方式成功获得对称密钥(即,100%成功以最高52.7位/秒的比特生成率成功)。

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