| Using the timing information of heartbeats as an entity identifier to secure body sensor network. | |
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MedLine Citation:
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PMID: 19000958 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Security of the emerging body sensor network (BSN) in telemedicine applications is a crucial problem because personal medical information must be protected against flaws and misdeeds. The solution is, however, nontrivial because lightweight mechanisms have to be deployed to meet the stringent resource constraints of these networks. It has been suggested that the inherent ability of human body to transfer information is a unique and resource-saving method to secure wireless communications within a BSN. For example, physiological characteristics can be captured by individual sensors of a BSN to generate entity identifiers (EIs) for identifying nodes and even securing keying materials, i.e., by a biometric approach. This study demonstrates the performance analysis of such a biometric trait, i.e., the interpulse intervals (IPIs) of heartbeats that were calculated from electrocardiogram and photoplethysmogram of 99 subjects. Based on the characteristics of IPIs, a lightweight generation scheme of EIs is proposed. Individual randomness and group similarity of the generated EIs are then evaluated. False acceptance rate and false rejection rate are also calculated to measure the effectiveness of the proposed identification system. The results suggest that the readily available IPI information can be a good source for generating EIs among BSN nodes. |
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Authors:
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Shu-Di Bao; Carmen C Y Poon; Yuan-Ting Zhang; Lian-Feng Shen |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society Volume: 12 ISSN: 1558-0032 ISO Abbreviation: IEEE Trans Inf Technol Biomed Publication Date: 2008 Nov |
Date Detail:
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Created Date: 2008-11-12 Completed Date: 2009-02-17 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9712259 Medline TA: IEEE Trans Inf Technol Biomed Country: United States |
Other Details:
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Languages: eng Pagination: 772-9 Citation Subset: IM |
Affiliation:
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National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China. sdbao@ieee.org |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Computer Communication Networks*
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instrumentation Computer Security* Heart Rate Humans Medical Records Systems, Computerized Monitoring, Ambulatory* Telemedicine* / instrumentation |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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