Title: Key negotiation schemes for body sensor networks on the surface of the human body
Authors: Huawei Zhao; Minglei Shu; Jing Qin; Jiankun Hu
Addresses: Department of Internet Finance, Qilu University of Technology, 58 Sangyuanlu road, Jinan, 250014, China; Shandong Computer Science Center, Keyuanlu, Jinan 250014, China ' School of Information Science and Engineering, Shandong University, Jinan 250014, China; Shandong Computer Science Center, Keyuanlu, Jinan 250014, China ' School of Mathematics, Shandong University, Jinan 250100, China ' Shandong Computer Science Center, Keyuanlu, Jinan 250014, China; School of Engineering and Information Technology, Northcott Drive, Canberra 2600, Australia
Abstract: At present, with the popularisation of body sensor networks, more and more people concern the problem of personal privacy. Because the key negotiation schemes are the core technology to protect personal privacy, this paper provides two energy efficient key negotiation schemes for body sensor networks deployed on the surface of the human body which are the most practical applications. In our work, we first point that single-hop transmission is more energy efficient than multi-hop transmission, and then, based on the single-hop transmission and star network structure, we use fuzzy commitment technology to establish shared keys between biosensors and PDA under weak time synchronisation mechanism, and use a modified fuzzy extractor technology to establish shared keys between PDA and the remote medical centre. Analyses show that our scheme are more efficient than existing researches, and are suitable to practical body sensor networks.
Keywords: body sensor networks; BSNs; key negotiation; fuzzy commitment; fuzzy extractor; fuzzy logic; human body surfaces; personal privacy; privacy protection; privacy preservation; energy efficiency; biosensors; shared keys; PDAs; remote medical centres.
DOI: 10.1504/IJAACS.2017.082738
International Journal of Autonomous and Adaptive Communications Systems, 2017 Vol.10 No.1, pp.55 - 66
Received: 29 Aug 2013
Accepted: 12 Oct 2013
Published online: 10 Mar 2017 *