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AuthorYüzugüzel H.
AuthorNiemi J.
AuthorKiranyaz, Mustafa Serkan
AuthorGabbouj M.
AuthorHeinz T.
Available date2022-04-26T12:31:23Z
Publication Date2015
Publication NameProceedings - 15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015
ResourceScopus
Identifierhttp://dx.doi.org/10.1109/CIT/IUCC/DASC/PICOM.2015.316
URIhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84964304516&doi=10.1109%2fCIT%2fIUCC%2fDASC%2fPICOM.2015.316&partnerID=40&md5=dd36ee60374c2700bc60883ea166c226
URIhttp://hdl.handle.net/10576/30633
AbstractDevices 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).
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectAccelerometers
Feature extraction
Mobile devices
Quantization (signal)
Accelerometer data
Accelerometer sensor
Device pairing
Discriminative features
Information signals
Key generation
Quantization
Shared secrets
Ubiquitous computing
TitleShakeMe: Key generation from shared motion
TypeConference Paper
Pagination2130-2133
dc.accessType Abstract Only


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