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Patterns-of-Life Aided Authentication

Zhao, Nan and Ren, Aifeng and Zhang, Zhiya and Zhu, Tianqiao and Ur Rehman, Masood and Yang, Xiaodong and Hu, Fangming (2016) 'Patterns-of-Life Aided Authentication.' Sensors, 16 (10). ISSN 1424-2818

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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.

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: 19 Nov 2018 16:06
Last Modified: 19 Nov 2018 16:06
URI: http://repository.essex.ac.uk/id/eprint/23498

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