Patterns-of-Life Aided Authentication.
Wireless Body Area Network (WBAN) applications have grown immensely in the past few years. However, security and privacy of the user are two major obstacles in their development. The complex and very sensitive nature of the body-mounted sensors means the traditional network layer security arrangements are not sufficient to employ their full potential, and novel solutions are necessary. In contrast, security methods based on physical layers tend to be more suitable and have simple requirements. The problem of initial trust needs to be addressed as a prelude to the physical layer security key arrangement. This paper proposes a patterns-of-life aided authentication model to solve this issue. The model employs the wireless channel fingerprint created by the user's behavior characterization. The performance of the proposed model is established through experimental measurements at 2.45 GHz. Experimental results show that high correlation values of 0.852 to 0.959 with the habitual action of the user in different scenarios can be used for auxiliary identity authentication, which is a scalable result for future studies.
School of Electronic Engineering, Xidian University, Xi'an 710071, China. nan_zhao_@hotmail.com.
Nan
N
Zhao
School of Electronic Engineering, Xidian University, Xi'an 710071, China. afren@mail.xidian.edu.cn.
Aifeng
A
Ren
School of Electronic Engineering, Xidian University, Xi'an 710071, China. zhiyazhang@163.com.
Zhiya
Z
Zhang
School of Electronic Engineering, Xidian University, Xi'an 710071, China. tqzhu@mail.xidian.edu.cn.
Tianqiao
T
Zhu
Centre for Wireless Research, University of Bedfordshire, Luton LU1 3JU, UK. Masood.UrRehman@beds.ac.uk.
Masood Ur
MU
Rehman
School of Electronic Engineering, Xidian University, Xi'an 710071, China. xdyang@xidian.edu.cn.
Xiaodong
X
Yang
School of Electronic Engineering, Xidian University, Xi'an 710071, China. fangming95@163.com.
Fangming
F
Hu
D003195:Computer Communication Networks; D016494:Computer Security; D006801:Humans; D018670:Monitoring, Ambulatory; D059015:Wireless Technology
Wireless Body Area Networks; initial trust; patterns-of-life aided authentication
Sensors (Basel). 2015 Sep 15;15(9):23145-67
26389899
Sensors (Basel). 2014 Sep 26;14(10):18009-52
25264958
Sensors (Basel). 2015 Oct 22;15(10):26801-17
26506355
Sensors (Basel). 2011;11(2):1383-95
22319358
IEEE Trans Neural Syst Rehabil Eng. 2016 Nov;24(11):1210-1217
27046903
Sensors (Basel). 2012;12(1):55-91
22368458