A cross-layer approach to message authentication based on sparse representation for wireless body area networks
Due to personal privacy, information security is a particularly important issue in wireless body area networks. Although current communication protocol has considered the security, there is still a risk that lapses in physical layer security may be a potential threat in wireless body area networks....
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Format: | Article |
Language: | English |
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Wiley
2017-03-01
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Series: | International Journal of Distributed Sensor Networks |
Online Access: | https://doi.org/10.1177/1550147717692587 |
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author | Ning Wang Weiwei Li Ting Jiang |
author_facet | Ning Wang Weiwei Li Ting Jiang |
author_sort | Ning Wang |
collection | DOAJ |
description | Due to personal privacy, information security is a particularly important issue in wireless body area networks. Although current communication protocol has considered the security, there is still a risk that lapses in physical layer security may be a potential threat in wireless body area networks. In order to achieve the comprehensive security protection, in this article, we propose a cross-layer authentication approach, where the higher layer and physical layer are simultaneously considered. More specifically, different from current literatures, we exploit the sparse representation of the original signal as the basis of physical layer authentication, and a representative selection algorithm is presented to achieve the signal detection. Moreover, based on IEEE Standard 802.15.6, we give a feasible unite authentication scheme, in which physical layer strategy and higher layer strategy are combined to enhance the security of authentication. To verify the effectiveness of the proposed physical layer strategy, we conducted experiments and numerical simulations. Furthermore, the computational complexity of the proposed algorithm and the efficiency of the cross-layer approach are analyzed, respectively. Results showed that the proposed approach can significantly enhance the authentication and the complexity is acceptable (polynomial complexity). |
format | Article |
id | doaj-art-d410494b414e42e99381455a4f722eff |
institution | Kabale University |
issn | 1550-1477 |
language | English |
publishDate | 2017-03-01 |
publisher | Wiley |
record_format | Article |
series | International Journal of Distributed Sensor Networks |
spelling | doaj-art-d410494b414e42e99381455a4f722eff2025-02-03T05:44:33ZengWileyInternational Journal of Distributed Sensor Networks1550-14772017-03-011310.1177/1550147717692587A cross-layer approach to message authentication based on sparse representation for wireless body area networksNing Wang0Weiwei Li1Ting Jiang2Key Laboratory of Universal Wireless Communications of Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, ChinaSchool of Information and Engineering, Hebei University of Engineering, Handan, ChinaKey Laboratory of Universal Wireless Communications of Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, ChinaDue to personal privacy, information security is a particularly important issue in wireless body area networks. Although current communication protocol has considered the security, there is still a risk that lapses in physical layer security may be a potential threat in wireless body area networks. In order to achieve the comprehensive security protection, in this article, we propose a cross-layer authentication approach, where the higher layer and physical layer are simultaneously considered. More specifically, different from current literatures, we exploit the sparse representation of the original signal as the basis of physical layer authentication, and a representative selection algorithm is presented to achieve the signal detection. Moreover, based on IEEE Standard 802.15.6, we give a feasible unite authentication scheme, in which physical layer strategy and higher layer strategy are combined to enhance the security of authentication. To verify the effectiveness of the proposed physical layer strategy, we conducted experiments and numerical simulations. Furthermore, the computational complexity of the proposed algorithm and the efficiency of the cross-layer approach are analyzed, respectively. Results showed that the proposed approach can significantly enhance the authentication and the complexity is acceptable (polynomial complexity).https://doi.org/10.1177/1550147717692587 |
spellingShingle | Ning Wang Weiwei Li Ting Jiang A cross-layer approach to message authentication based on sparse representation for wireless body area networks International Journal of Distributed Sensor Networks |
title | A cross-layer approach to message authentication based on sparse representation for wireless body area networks |
title_full | A cross-layer approach to message authentication based on sparse representation for wireless body area networks |
title_fullStr | A cross-layer approach to message authentication based on sparse representation for wireless body area networks |
title_full_unstemmed | A cross-layer approach to message authentication based on sparse representation for wireless body area networks |
title_short | A cross-layer approach to message authentication based on sparse representation for wireless body area networks |
title_sort | cross layer approach to message authentication based on sparse representation for wireless body area networks |
url | https://doi.org/10.1177/1550147717692587 |
work_keys_str_mv | AT ningwang acrosslayerapproachtomessageauthenticationbasedonsparserepresentationforwirelessbodyareanetworks AT weiweili acrosslayerapproachtomessageauthenticationbasedonsparserepresentationforwirelessbodyareanetworks AT tingjiang acrosslayerapproachtomessageauthenticationbasedonsparserepresentationforwirelessbodyareanetworks AT ningwang crosslayerapproachtomessageauthenticationbasedonsparserepresentationforwirelessbodyareanetworks AT weiweili crosslayerapproachtomessageauthenticationbasedonsparserepresentationforwirelessbodyareanetworks AT tingjiang crosslayerapproachtomessageauthenticationbasedonsparserepresentationforwirelessbodyareanetworks |