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Secure key generation and distribution protocol for wearable devices

Authors: Girish Revadigar; Chitra Javali; Weitao Xu; Wen Hu 0001; Sanjay Jha 0001;

Secure key generation and distribution protocol for wearable devices

Abstract

Smart wearable devices have enormous applications in today's world and hence their usage is increasing significantly. As these devices communicate using wireless medium, the communication must be protected from eavesdropping by using shared secret keys for data encryption. In many applications, it is essential to use a common secret key for secured communication among multiple devices. In this paper, we present our novel secret key generation and distribution protocol exploiting accelerometer data collected from smart wearable devices. We propose (i) source separation method for processing accelerometer sensor data, and (ii) key distribution protocol based on Fuzzy vault. Our scheme is information theoretically secure and our experimental results show that the maximum key generation rate of our scheme is 50 bps which is suitable for practical applications.

Related Organizations
Keywords

1709 Human-Computer Interaction, 1705 Computer Networks and Communications, Secret key generation, 1706 Computer Science Applications, Wearable devices, Secure key distribution

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Top 10%
Top 10%
Top 10%
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