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