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IEEE Signal Processing Letters
Article . 2017 . Peer-reviewed
License: IEEE Copyright
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Privacy Leakage of Physical Activity Levels in Wireless Embedded Wearable Systems

Authors: Xenofon Fafoutis; Letizia Marchegiani; Georgios Z. Papadopoulos; Robert J. Piechocki; Theo Tryfonas; George C. Oikonomou;

Privacy Leakage of Physical Activity Levels in Wireless Embedded Wearable Systems

Abstract

With the ubiquity of sensing technologies in our personal spaces, the protection of our privacy and the confidentiality of sensitive data becomes a major concern. In this letter, we focus on wearable embedded systems that communicate data periodically over the wireless medium. In this context, we demonstrate that private information about the physical activity levels of the wearer can leak to an eavesdropper through the physical layer. Indeed, we show that the physical activity levels strongly correlate with changes in the wireless channel that can be captured by measuring the signal strength of the eavesdropped frames. We practically validate this correlation in several scenarios in a real residential environment, using data collected by our prototype wearable accelerometer-based sensor. Finally, we propose a privacy enhancement algorithm that mitigates the leakage of this private information.

Countries
Italy, United Kingdom, France
Keywords

IoT, /dk/atira/pure/core/keywords/digital_health; name=Digital Health, [INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI], /dk/atira/pure/core/keywords/digital_health, name=Digital Health, Wearable Systems, name=SPHERE, Security and Privacy, Embedded System Security, 025, 004, [INFO.INFO-ES] Computer Science [cs]/Embedded Systems, /dk/atira/pure/core/keywords/eng_sphere, [INFO.INFO-CR] Computer Science [cs]/Cryptography and Security [cs.CR], /dk/atira/pure/core/keywords/eng_sphere; name=SPHERE

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    selected citations
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    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).
    20
    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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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!
20
Top 10%
Top 10%
Top 10%
Green
bronze