A Chaotic Maps-Based Authentication Scheme for Wireless Body Area Networks

As a technology of monitoring and recording human body health signals, wireless body area networks (WBANs) play an increasingly important role in the field of healthcare. Inspired by the semigroup property of Chebyshev maps, we designed a novel chaotic maps-based authentication scheme for wireless b...

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Main Authors: Gaimei Gao, Xinguang Peng, Ye Tian, Zefeng Qin
Format: Article
Language:English
Published: Wiley 2016-07-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1177/155014772174720
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author Gaimei Gao
Xinguang Peng
Ye Tian
Zefeng Qin
author_facet Gaimei Gao
Xinguang Peng
Ye Tian
Zefeng Qin
author_sort Gaimei Gao
collection DOAJ
description As a technology of monitoring and recording human body health signals, wireless body area networks (WBANs) play an increasingly important role in the field of healthcare. Inspired by the semigroup property of Chebyshev maps, we designed a novel chaotic maps-based authentication scheme for wireless body area networks. The study aims to avoid modular exponential computation or scalar multiplication on an elliptic curve and reduce the need for time-consuming. Compared with the previous schemes, our scheme not only enjoys more security features but also has reduced computational cost of client and application provider. Moreover, we present the security model for our scheme, demonstrate the validity of the protocol by the BAN (Burrows, Abadi, and Needham) logic in detail, and analyze the software implementation method of Chebyshev polynomial.
format Article
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issn 1550-1477
language English
publishDate 2016-07-01
publisher Wiley
record_format Article
series International Journal of Distributed Sensor Networks
spelling doaj-art-687ee3ea3cc0405081f971608a6d6bca2025-08-20T03:18:16ZengWileyInternational Journal of Distributed Sensor Networks1550-14772016-07-011210.1177/155014772174720A Chaotic Maps-Based Authentication Scheme for Wireless Body Area NetworksGaimei Gao0Xinguang Peng1Ye Tian2Zefeng Qin3 Department of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan 030024, China College of Computer Science & Technology, Taiyuan University of Technology, Taiyuan 030024, China Center of Computer, Taiyuan Normal University, Taiyuan 030012, China Department of Computer Science, Shanxi Youth Vocational College, Taiyuan 030032, ChinaAs a technology of monitoring and recording human body health signals, wireless body area networks (WBANs) play an increasingly important role in the field of healthcare. Inspired by the semigroup property of Chebyshev maps, we designed a novel chaotic maps-based authentication scheme for wireless body area networks. The study aims to avoid modular exponential computation or scalar multiplication on an elliptic curve and reduce the need for time-consuming. Compared with the previous schemes, our scheme not only enjoys more security features but also has reduced computational cost of client and application provider. Moreover, we present the security model for our scheme, demonstrate the validity of the protocol by the BAN (Burrows, Abadi, and Needham) logic in detail, and analyze the software implementation method of Chebyshev polynomial.https://doi.org/10.1177/155014772174720
spellingShingle Gaimei Gao
Xinguang Peng
Ye Tian
Zefeng Qin
A Chaotic Maps-Based Authentication Scheme for Wireless Body Area Networks
International Journal of Distributed Sensor Networks
title A Chaotic Maps-Based Authentication Scheme for Wireless Body Area Networks
title_full A Chaotic Maps-Based Authentication Scheme for Wireless Body Area Networks
title_fullStr A Chaotic Maps-Based Authentication Scheme for Wireless Body Area Networks
title_full_unstemmed A Chaotic Maps-Based Authentication Scheme for Wireless Body Area Networks
title_short A Chaotic Maps-Based Authentication Scheme for Wireless Body Area Networks
title_sort chaotic maps based authentication scheme for wireless body area networks
url https://doi.org/10.1177/155014772174720
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