Show simple item record

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 65 (12) 6616-6623en
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.
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
html.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.


Files in this item

Thumbnail
Name:
published.pdf
Size:
1.124Mb
Format:
PDF

This item appears in the following Collection(s)

Show simple item record

Green - can archive pre-print and post-print or publisher's version/PDF
Except where otherwise noted, this item's license is described as Green - can archive pre-print and post-print or publisher's version/PDF