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Since ancient Greece, handshaking has been commonly practiced between twopeople as a friendly gesture to express trust and respect, or form a mutualagreement. In this paper, we show that such physical contact can be used tobootstrap secure cyber contact between the smart devices worn by users. The keyobservation is that during handshaking, although belonged to two differentusers, the two hands involved in the shaking events are often rigidlyconnected, and therefore exhibit very similar motion patterns. We propose anovel Shake-n-Shack system, which harvests motion data during user handshakingfrom the wrist worn smart devices such as smartwatches or fitness bands, andexploits the matching motion patterns to generate symmetric keys on bothparties. The generated keys can be then used to establish a securecommunication channel for exchanging data between devices. This provides a muchmore natural and user-friendly alternative for many applications, e.g.exchanging/sharing contact details, friending on social networks, or evenmaking payments, since it doesn't involve extra bespoke hardware, nor requirethe users to perform pre-defined gestures. We implement the proposedShake-n-Shack system on off-the-shelf smartwatches, and extensive evaluationshows that it can reliably generate 128-bit symmetric keys just after around 1sof handshaking (with success rate >99%), and is resilient to real-timemimicking 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 beextremely lightweight, and is able to run in-situ on the resource-constrainedsmartwatches without incurring excessive resource consumption.

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