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Shake-n-Shack: Enabling Secure Data Exchange Between Smart Wearables via Handshakes

机译:Shake-N-Shack:通过握手在智能穿戴物之间启用安全数据交换

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Since ancient Greece, handshaking has been commonly practiced between two people as a friendly gesture to express trust and respect, or form a mutual agreement. In this paper, we show that such physical contact can be used to bootstrap secure cyber contact between the smart devices worn by users. The key observation is that during handshaking, although belonged to two different users, the two hands involved in the shaking events are often rigidly connected, and therefore exhibit very similar motion patterns. We propose a novel Shake-n-Shack system, which harvests motion data during user handshaking from the wrist worn smart devices such as smartwatches or fitness bands, and exploits the matching motion patterns to generate symmetric keys on both parties. The generated keys can be then used to establish a secure communication channel for exchanging data between devices. This provides a much more natural and user-friendly alternative for many applications, e.g., exchanging/sharing contact details, friending on social networks, or even making payments, since it doesn't involve extra bespoke hardware, nor require the users to perform pre-defined gestures. We implement the proposed Shake-n-Shack1system on off-the-shelf smartwatches, and extensive evaluation shows that it can reliably generate 128-bit symmetric keys just after around 1s of handshaking (with success rate >99%), and is resilient to real-time mimicking attacks: in our experiments the Equal Error Rate (EER) is only 1.6% on average. We also show that the proposed Shake-n-Shack system can be extremely lightweight, and is able to run in-situ on the resource-constrained smartwatches without incurring excessive resource consumption.
机译:自古希腊以来,握手在两个人之间通常练习为友好的姿态,以表达信任和尊重,或形成共同协议。在本文中,我们表明这种物理联系人可用于在用户佩戴的智能设备之间引导安全网络联系。关键观察是,在握手期间,虽然属于两个不同的用户,但涉及摇动事件的两只手通常刚性连接,因此表现出非常相似的运动模式。我们提出了一种新颖的摇动N-Shack系统,该系统从诸如Smartwatches或健身频带的手腕磨损的智能设备(例如Smartwatches或Fitness频带)中收集运动数据,并利用匹配的运动模式来在双方产生对称键。然后,可以使用所生成的密钥来建立用于在设备之间交换数据的安全通信信道。这为许多应用程序提供了更自然和用户友好的替代方案,例如,交换/共享联系方式,在社交网络上交友,甚至是付款,因为它不涉及额外的定制硬件,也不需要用户执行前 - 定义手势。我们实施了建议的摇柄 1 在现成的智能手表上的系统,并且广泛的评估表明它可以在大约1S握手之后可靠地生成128位对称键(成功率> 99 %),并且有弹性对实时模拟攻击:在我们的实验平均值(eer)平均只有1.6 %。我们还表明,所提出的摇动N-Shack系统可以非常轻,并且能够在资源受限的Smartwatches上进入原位,而不会产生过度资源消耗。

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