Authentication in millimeter-wave body-centric networks through wireless channel characterization

2.50
Hdl Handle:
http://hdl.handle.net/10547/622380
Title:
Authentication in millimeter-wave body-centric networks through wireless channel characterization
Authors:
Zhao, Nan; Zhang, Zhiya; Ur-Rehman, Masood ( 0000-0001-6926-7983 ) ; Ren, Aifeng; Yang, Xiaodong ( 0000-0002-4701-1204 ) ; Zhao, Jianxun ( 0000-0001-9513-5917 ) ; Zhao, Wei; Dong, Binbin
Abstract:
Advent of 5G technologies has ensued in massive growth of body-centric communications (BCC), especially at millimeter-wave frequencies. As a result, the portable/handheld terminals are becoming more and more “intelligent” but not without the cost of being less secure. Improved authentication measures need to be explored, as effective identity authentication is the first level of security in these devices. This paper presents a novel keyless authentication method exploiting wireless channel characteristics. Human palm has distinct transmission coefficient (S21) for each of the users and is used for in-vivo fingerprint identification in this work. A detailed channel modeling using data acquisition from real environment and empirical approach is adopted to evaluate the usability of this method. The results show that this method can provide a secure operation for the millimeter-wave 5G BCCs.
Affiliation:
Xidian University; University of Bedfordshire
Citation:
Zhao N, Zhang Z, Ur-Rehman M, Ren A, Yang X, Zhao J, Zhao W, Dong B (2017) 'Authentication in millimeter-wave body-centric networks through wireless channel characterization', IEEE Transactions on Antennas and Propagation.
Publisher:
IEEE
Journal:
IEEE Transactions on Antennas and Propagation
Issue Date:
13-Nov-2017
URI:
http://hdl.handle.net/10547/622380
DOI:
10.1109/TAP.2017.2681462
Additional Links:
http://ieeexplore.ieee.org/abstract/document/7875419/
Type:
Article
Language:
en
ISSN:
0018-926X
EISSN:
1558-2221
Sponsors:
China Postdoctoral Science Foundation
Appears in Collections:
Engineering

Full metadata record

DC FieldValue Language
dc.contributor.authorZhao, Nanen
dc.contributor.authorZhang, Zhiyaen
dc.contributor.authorUr-Rehman, Masooden
dc.contributor.authorRen, Aifengen
dc.contributor.authorYang, Xiaodongen
dc.contributor.authorZhao, Jianxunen
dc.contributor.authorZhao, Weien
dc.contributor.authorDong, Binbinen
dc.date.accessioned2017-11-14T11:46:55Z-
dc.date.available2017-11-14T11:46:55Z-
dc.date.issued2017-11-13-
dc.identifier.citationZhao N, Zhang Z, Ur-Rehman M, Ren A, Yang X, Zhao J, Zhao W, Dong B (2017) 'Authentication in millimeter-wave body-centric networks through wireless channel characterization', IEEE Transactions on Antennas and Propagation.en
dc.identifier.issn0018-926X-
dc.identifier.doi10.1109/TAP.2017.2681462-
dc.identifier.urihttp://hdl.handle.net/10547/622380-
dc.description.abstractAdvent of 5G technologies has ensued in massive growth of body-centric communications (BCC), especially at millimeter-wave frequencies. As a result, the portable/handheld terminals are becoming more and more “intelligent” but not without the cost of being less secure. Improved authentication measures need to be explored, as effective identity authentication is the first level of security in these devices. This paper presents a novel keyless authentication method exploiting wireless channel characteristics. Human palm has distinct transmission coefficient (S21) for each of the users and is used for in-vivo fingerprint identification in this work. A detailed channel modeling using data acquisition from real environment and empirical approach is adopted to evaluate the usability of this method. The results show that this method can provide a secure operation for the millimeter-wave 5G BCCs.en
dc.description.sponsorshipChina Postdoctoral Science Foundationen
dc.language.isoenen
dc.publisherIEEEen
dc.relation.urlhttp://ieeexplore.ieee.org/abstract/document/7875419/en
dc.rightsGreen - can archive pre-print and post-print or publisher's version/PDF-
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subject5G mobile communicationen
dc.subjectbody-centric networksen
dc.subjectauthenticationen
dc.subjectsecurityen
dc.subjectwireless communication systemsen
dc.subjectG420 Networks and Communicationsen
dc.titleAuthentication in millimeter-wave body-centric networks through wireless channel characterizationen
dc.typeArticleen
dc.identifier.eissn1558-2221-
dc.contributor.departmentXidian Universityen
dc.contributor.departmentUniversity of Bedfordshireen
dc.identifier.journalIEEE Transactions on Antennas and Propagationen
dc.date.updated2017-11-14T11:15:41Z-
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