Title :
The Martini Synch: Device Pairing via Joint Quantization
Author :
Kirovski, D. ; Sinclair, M. ; Wilson, D.
Author_Institution :
Microsoft Res., Redmond, WA
Abstract :
Device pairing is a significant problem for a large class of increasingly popular resource-constrained wireless protocols such as Bluetooth. The objective of pairing is to establish a secure wireless communication channel between two specific devices without a public-key infrastructure, a secure near-field communication channel, or electrical contact. In this paper, we use a surprising user-device interaction as a solution to this problem. By adding a 3-axis accelerometer, a device can sense its motion in local Cartesian space relative to the inertial space. The idea is to have two devices in a fixed, relative position to each other. The joint object is then moved randomly in 3D for several seconds. The unique and difficult to reproduce motion generates approximately the same distinct signal at each accelerometer. The difference between the signals in the two inertially conjoined sensors should be relatively small under normal motion induced manually except for a fixed attitude offset. The objective is to derive a deterministic key at both sides with maximized entropy that will be used as a private key for symmetric encryption. Currently, our prototype produces 9-20 bits of entropy per second of usual manual motion using off-the-shelf components.
Keywords :
cryptographic protocols; public key cryptography; quantisation (signal); telecommunication security; wireless channels; Bluetooth; Martini Synch; device pairing; inertially conjoined sensors; joint quantization; maximized entropy; near-field communication channel; public-key infrastructure; resource-constrained wireless protocols; symmetric encryption; wireless communication channel security; Accelerometers; Bluetooth; Communication channels; Communication system security; Contacts; Entropy; Public key; Quantization; Wireless application protocol; Wireless communication;
Conference_Titel :
Information Theory, 2007. ISIT 2007. IEEE International Symposium on
Conference_Location :
Nice
Print_ISBN :
978-1-4244-1397-3
DOI :
10.1109/ISIT.2007.4557269