Research Repository

Authentication in Millimeter-Wave Body-Centric Networks Through Wireless Channel Characterization

Zhao, Nan and Zhang, Zhiya and Ur Rehman, Masood and Ren, Aifeng and Yang, Xiaodong and Zhao, Jianxun and Zhao, Wei and Dong, Binbin (2017) 'Authentication in Millimeter-Wave Body-Centric Networks Through Wireless Channel Characterization.' IEEE Transactions on Antennas and Propagation, 65 (12). 6616 - 6623. ISSN 0018-926X

[img]
Preview
Text
Authentication in Millimeter-Wave Body-Centric Networks through Wireless Channel Characterization copy.pdf - Accepted Version

Download (1MB) | Preview

Abstract

Advent of 5G technologies has ensued in massive growth of body-centric communications (BCCs), especially at millimeter-wave (mm-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 paper. 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 mm-wave 5G BCCs.

Item Type: Article
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Elements
Date Deposited: 13 Feb 2019 16:00
Last Modified: 13 Feb 2019 16:15
URI: http://repository.essex.ac.uk/id/eprint/23994

Actions (login required)

View Item View Item