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ShakeMe: Key Generation from Shared Motion

机译:ShakeMe:共享运动产生的密钥

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摘要

Devices equipped with accelerometer sensors such as today's mobile devices can make use of motion to exchange information. A typical example for shared motion is shaking of two devices which are held together in one hand. Deriving a shared secret (key) from shared motion, e.g. for device pairing, is an obvious application for this. Only the keys need to be exchanged between the peers and neither the motion data nor the features extracted from it. This makes the pairing fast and easy. For this, each device generates an information signal (key) independently of each other and, in order to pair, they should be identical. The key is essentially derived by quantizing certain well discriminative features extracted from the accelerometer data after an implicit synchronization. In this paper, we aim at finding a small set of effective features which enable a significantly simpler quantization procedure than the prior art. Our tentative results with authentic accelerometer data show that this is possible with a competent accuracy (76%) and key strength (entropy approximately 15 bits).
机译:配备了加速度传感器的设备(例如当今的移动设备)可以利用运动来交换信息。共享运动的典型示例是一只手握在一起的两个设备的晃动。从共享运动中获取共享秘密(密钥),例如设备配对是一个很明显的应用。在同级之间仅需要交换密钥,而运动数据或从中提取的特征都不需要。这使配对变得快速而简单。为此,每个设备都彼此独立地生成信息信号(密钥),并且为了配对,它们应该是相同的。关键本质上是通过在隐式同步之后对从加速度计数据中提取的某些良好区分特征进行量化而得出的。在本文中,我们旨在寻找一小套有效特征,这些特征可以使量化过程比现有技术明显简化。我们用真实的加速度计数据得出的初步结果表明,以准确的精度(76%)和按键强度(熵大约15位)可以做到这一点。

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