Skip to search boxSkip to navigationSkip to main content

Patterns-of-life aided authentication

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

Open access

Abstract

Abstract 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.

Publication Information

Output type

Research Output: Contribution to journal Article Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 1574

Journal (Volume, Issue Number)

Sensors (Volume 16, Issue 10)

Publication milestones

  • Published - 23/09/2016

Publication status

Published - 23/09/2016

ISSN

1424-8220

External Publication IDs

  • handle.net: 10547/623077
  • Scopus: 84988728391

Access to documents

Publication metrics

Metrics

Download statistics
Download count
1