The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
A novel biometrics method to secure wireless body area sensor networks for telemedicine and m-health
Abstract
The development of the wireless body area sensor network (BASN) is imperative for modern telemedicine and m-health, but security remains a formidable challenge yet to be resolved. As nodes of BASN are expected to be interconnected on or in the human body, the body itself can form an inherently secure communication pathway that is unavailable to all other kinds of wireless networks. This article explores the use of this conduit in the security mechanism of BASN; that is, by a biometrics approach that uses an intrinsic characteristic of the human body as the authentication identity or the means of securing the distribution of a cipher key to secure inter-BASN communications. The method was tested on 99 subjects with 838 segments of simultaneous recordings of electrocardiogram and photoplethysmogram. By using the interpulse interval (IPI) as the biometric trait, the system achieved a minimum half total error rate of 2.58 percent when the IPIs measured from signals, which were sampled at 1000 Hz, were coded into 128-bit binary sequences. The study opens up a few key issues for future investigation, including compensation schemes for the asynchrony of different channels, coding schemes, and other suitable biometric traits.
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Cites
Istepanian, R. S. H., Jovanov, E., & Zhang, Y. T. (2004) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2004.840019 · Cited by 766
Self-citationTelemedicine: A New Health Care Delivery System
Bashshur, R. L., Reardon, T. G., & Shannon, G. W. (2000) · Annual Review of Public Health · doi:10.1146/annurev.publhealth.21.1.613 · Cited by 318
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A survey on ambient-assisted living tools for older adults
Rashidi, P., & Mihailidis, A. (2013) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2012.2234129 · Cited by 1,128
Unobtrusive Sensing and Wearable Devices for Health Informatics
Zheng, Y.-L., Ding, X.-R., Poon, C. C. Y., Lo, B. P. L., Zhang, H., Zhou, X.-L., Yang, G.-Z., Zhao, N., & Zhang, Y.-T. (2014) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2014.2309951 · Cited by 722
Self-citationA Survey on Wireless Body Area Networks: Technologies and Design Challenges
Cavallari, R., Martelli, F., Rosini, R., Buratti, C., & Verdone, R. (2014) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2014.012214.00007 · Cited by 710
Mocrii, D., Chen, Y., & Musilek, P. (2018) · Internet of Things · doi:10.1016/j.iot.2018.08.009 · Cited by 348
Metadata
- Authors
- Poon, C. C. Y., Zhang, Y.-T., & Bao, S.-D.
- Venue
- IEEE Communications Magazine
- Published
- 2006-04
- Volume
- 44
- Issue
- 4
- Pages
- 73-81
- ISSN
- 0163-6804 (ISSN-L)
- OpenAlex
- W2122235704
- Cited by
- 570
- References
- 2
- FWCI
- 16.09
- Type
- journal article
- Language
- en
- Open access
- closed
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