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

  • Nan Zhao
    ,
  • Zhiya Zhang
    ,
  • Masood Ur-Rehman
    ,
  • Aifeng Ren
    ,
  • Xiaodong Yang
    ,
  • Jianxun Zhao
  • Xidian University
Research Output:
Contribution to journal
Article
 Peer-review

Open access

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.

Publication Information

Output type

Research Output:
Contribution to journal
Article
 Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 6616-6623

Journal (Volume, Issue Number)

IEEE Transactions on Antennas and Propagation (Volume 65, Issue 12)

Publication milestones

  • Published - 13/11/2017

Publication status

Published - 13/11/2017

ISSN

0018-926X

Publication IDs

  • handle.net: 10547/622380
  • Scopus: 85038812338

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