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Human interactive secure key and ID exchange protocols in body sensor networks
Department of Computer Science, Institute for the Future of Computing/Oxford Martin School, University of Oxford.
Department of Computer Science, University of Oxford.
Department of Computer Science, Institute for the Future of Computing/Oxford Martin School, University of Oxford.
Kristianstad University, School of Health and Society, Avdelningen för Design och datavetenskap. Department of Communications and Networking, Aalto University, Espoo.ORCID iD: 0000-0002-8032-6291
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2013 (English)In: IET Information Security, ISSN 1751-8709, E-ISSN 1751-8717, Vol. 7, no 1, 30-38 p.Article in journal (Refereed) Published
Abstract [en]

A body sensor network (BSN) is typically a wearable wireless sensor network. Security protection is critical to BSNs, since they collect sensitive personal information. Generally speaking, security protection of BSN relies on identity (ID) and key distribution protocols. Most existing protocols are designed to run in general wireless sensor networks, and are not suitable for BSNs. After carefully examining the characteristics of BSNs, the authors propose human interactive empirical channel-based security protocols, which include an elliptic curve Diffie–Hellman version of symmetric hash commitment before knowledge protocol and an elliptic curve Diffie–Hellman version of hash commitment before knowledge protocol. Using these protocols, dynamically distributing keys and IDs become possible. As opposite to present solutions, these protocols do not need any pre-deployment of keys or secrets. Therefore compromised and expired keys or IDs can be easily changed. These protocols exploit human users as temporary trusted third parties. The authors, thus, show that the human interactive channels can help them to design secure BSNs.

Place, publisher, year, edition, pages
2013. Vol. 7, no 1, 30-38 p.
Keyword [en]
Data security, ; Biomedical communication, Protocols, Cryptography, Wireless sensor networks
National Category
Communication Systems Embedded Systems Medical Laboratory and Measurements Technologies
Identifiers
URN: urn:nbn:se:hkr:diva-11329DOI: 10.1049/iet-ifs.2012.0080OAI: oai:DiVA.org:hkr-11329DiVA: diva2:668350
Available from: 2013-11-29 Created: 2013-11-29 Last updated: 2015-10-14Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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