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Accelerometer and Fuzzy Vault based Secure Group Key Generation and Sharing Protocol for Smart Wearables
School of Computer Science and Engineering, UNSW Australia.
School of Computer Science and Engineering, UNSW Australia.
School of Information Technology and Electrical Engineering, University of Queensland, Brisbane.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-1902-9877
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2017 (English)In: IEEE Transactions on Information Forensics and Security, ISSN 1556-6013, E-ISSN 1556-6021Article in journal (Refereed) Epub ahead of print
Abstract [en]

The increased usage of smart wearables in various applications, specifically in health-care, emphasizes the need for secure communication to transmit sensitive health-data. In a practical scenario, where multiple devices are carried by a person, a common secret key is essential for secure group communication. Group key generation and sharing among wearables has received very little attention in the literature due to the underlying challenges: (i) difficulty in obtaining a good source of randomness to generate strong cryptographic keys, and (ii) finding a common feature among all the devices to share the key. In this paper, we present a novel solution to generate and distribute group secret keys by exploiting on-board accelerometer sensor and the unique walking style of the user, i.e., gait. We propose a method to identify the suitable samples of accelerometer data during all routine activities of a subject to generate the keys with high entropy. In our scheme, the smartphone placed on waist employs fuzzy vault, a cryptographic construct, and utilizes the acceleration due to gait, a common characteristic extracted on all wearable devices to share the secret key. We implement our solution on commercially available off-the-shelf smart wearables, measure the system performance, and conduct experiments with multiple subjects. Our results demonstrate that the proposed solution has a bit rate of 750 bps, low system overhead, distributes the key securely and quickly to all legitimate devices, and is suitable for practical applications.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017.
National Category
Media and Communication Technology
Research subject
Mobile and Pervasive Computing
Identifiers
URN: urn:nbn:se:ltu:diva-64485DOI: 10.1109/TIFS.2017.2708690OAI: oai:DiVA.org:ltu-64485DiVA: diva2:1114924
Available from: 2017-06-26 Created: 2017-06-26 Last updated: 2017-06-26

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