Low Mismatch Key Agreement Based on Wavelet-Transform Trend and Fuzzy Vault in Body Area Network

Joint Authors

Zhan, Lei
Ji, Yuefeng
Wu, Yang
Sun, Yongmei

Source

International Journal of Distributed Sensor Networks

Issue

Vol. 2013, Issue - (31 Dec. 2013), pp.1-16, 16 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2013-06-06

Country of Publication

Egypt

No. of Pages

16

Main Subjects

Telecommunications Engineering
Information Technology and Computer Science

Abstract EN

Body area network (BAN) is an emerging branch of wireless sensor networks for personalized applications in many fields, such as health monitoring.

The services in BAN usually have a high requirement on security, especially for the medical diagnosis, which involves private information.

With limitations of power and computation capabilities, one of the main challenges to ensure security in BAN is how to generate or distribute a shared key between nodes for lightweight symmetric cryptography.

The current research almost exploits the randomness and distinctiveness (characteristics) of physiological signals to solve the key generation problem.

However, it needs the help of additional hardware support and has the constraint on positions deployment, to acquire vital signals, which will bring the high cost and hardness to implementation of real system.

To avoid the above problems, this paper presents a novel key generation scheme and a key distribution protocol, both of which are only based on wireless modules equipped on sensors.

By exploiting the high correlation of received signal strength index (RSSI) between peer-to-peer communications, our scheme can provide a shared symmetric cryptographic key under the presence of an eavesdropper.

We conduct experiments on the real Telosb nodes, and the results demonstrate that our proposed methods have a good performance on security.

American Psychological Association (APA)

Wu, Yang& Sun, Yongmei& Zhan, Lei& Ji, Yuefeng. 2013. Low Mismatch Key Agreement Based on Wavelet-Transform Trend and Fuzzy Vault in Body Area Network. International Journal of Distributed Sensor Networks،Vol. 2013, no. -, pp.1-16.
https://search.emarefa.net/detail/BIM-507546

Modern Language Association (MLA)

Wu, Yang…[et al.]. Low Mismatch Key Agreement Based on Wavelet-Transform Trend and Fuzzy Vault in Body Area Network. International Journal of Distributed Sensor Networks Vol. 2013, pp.1-16.
https://search.emarefa.net/detail/BIM-507546

American Medical Association (AMA)

Wu, Yang& Sun, Yongmei& Zhan, Lei& Ji, Yuefeng. Low Mismatch Key Agreement Based on Wavelet-Transform Trend and Fuzzy Vault in Body Area Network. International Journal of Distributed Sensor Networks. 2013. Vol. 2013, no. -, pp.1-16.
https://search.emarefa.net/detail/BIM-507546

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-507546