DocumentCode :
3716781
Title :
ShakeMe: Key Generation from Shared Motion
Author :
Yüzugüzel;Jari Niemi;Serkan Kiranyaz;Moncef Gabbouj;Thomas Heinz
Author_Institution :
Dept. of Signal Process., Tampere Univ. of Technol., Tampere, Finland
fYear :
2015
Firstpage :
2130
Lastpage :
2133
Abstract :
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).
Keywords :
"Acceleration","Feature extraction","Accelerometers","Sensors","Quantization (signal)","Protocols","Kernel"
Publisher :
ieee
Conference_Titel :
Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing (CIT/IUCC/DASC/PICOM), 2015 IEEE International Conference on
Type :
conf
DOI :
10.1109/CIT/IUCC/DASC/PICOM.2015.316
Filename :
7363362
Link To Document :
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