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J. Sens. Actuator Netw. 2017, 6(2), 5; doi:10.3390/jsan6020005

Secure and Connected Wearable Intelligence for Content Delivery at a Mass Event: A Case Study

1
Departments of Electronics and Communications Engineering, and Pervasive Computing, Tampere University of Technology, FI-33720 Tampere, Finland
2
Departments of Cyber Physical Systems Security, and Wireless Telecommunications, ITMO University, 197101 Kronverksky pr., 49, St. Petersburg, Russia
*
Author to whom correspondence should be addressed.
Academic Editor: Hakima Chaouchi
Received: 31 January 2017 / Revised: 28 April 2017 / Accepted: 11 May 2017 / Published: 22 May 2017
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Abstract

Presently, smart and connected wearable systems, such as on-body sensors and head-mounted displays, as well as other small form factor but powerful personal computers are rapidly pervading all areas of our life. Motivated by the opportunities that next-generation wearable intelligence is expected to provide, the goal of this work is to build a comprehensive understanding around some of the user-centric security and trust aspects of the emerging wearable and close-to-body wireless systems operating in mass events and under heterogeneous conditions. The paper thus intends to bring the attention of the research community to this emerging paradigm and discuss the pressing security and connectivity challenges within a popular consumer context. Our selected target scenario is that of a sports match, where wearable-equipped users may receive their preferred data over various radio access protocols. We also propose an authentication framework that allows for delivery of the desired content securely within the considered ecosystem. View Full-Text
Keywords: wearables; security; authentication; WiGig; mass event; wireless; challenges wearables; security; authentication; WiGig; mass event; wireless; challenges
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Ometov, A.; Solomitckii, D.; Olsson, T.; Bezzateev, S.; Shchesniak, A.; Andreev, S.; Harju, J.; Koucheryavy, Y. Secure and Connected Wearable Intelligence for Content Delivery at a Mass Event: A Case Study. J. Sens. Actuator Netw. 2017, 6, 5.

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