Addressing the Confidentiality and Integrity of Assistive Care Loop Framework using Wireless Sensor Networks

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dc.contributor.author Balasubramanian Appiah, V
dc.contributor.author Hoang, DB
dc.contributor.editor Selvaraj, H
dc.contributor.editor Zydek, D
dc.date.accessioned 2012-10-12T03:36:15Z
dc.date.issued 2011-01
dc.identifier.citation 2011 21st International Conference on Systems Engineering, 2011, pp. 416 - 421
dc.identifier.isbn 978-0-7695-4495-3
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/19122
dc.description.abstract In-house healthcare monitoring applications are continuous time-critical applications often built upon Body Area Wireless Sensor Networks (BAWSNs). Our Assistive Care Loop Framework (ACLF) is an in-house healthcare application capable of monitoring the health conditions of aged/patients over a dedicated period of time by deploying the BAWSN as the monitoring component. However, the wireless medium used in the BAWSN for communications is prone to vulnerabilities that could open a door to attackers tampering with or compromising the userâs data privacy. Hence, it is imperative to maintain the privacy and integrity of the data to gain the confidence and hence, the acceptance of the users of the healthcare applications. Furthermore, in time-critical applications, the vital health conditions must be monitored at regular intervals within their specified critical time. Therefore, the security model proposed for the BAWSN must not incur undue overheads when meeting the critical time requirements of the application. In this paper, we propose and implement a secure adaptive triple-key scheme (TKS) for the BAWSN to achieve the privacy and integrity of the monitored data with minimal overheads. We then present the performance results of our scheme for the BAWSN, using real-time test-bed implementations and simulations.
dc.format Ryan Stoker
dc.publisher IEEE Computer Society
dc.title Addressing the Confidentiality and Integrity of Assistive Care Loop Framework using Wireless Sensor Networks
dc.type Conference Proceeding
dc.parent 2011 21st International Conference on Systems Engineering
dc.journal.number en_US
dc.publocation Las Vegas Nevada USA en_US
dc.identifier.startpage 416 en_US
dc.identifier.endpage 421 en_US
dc.cauo.name FEIT.Faculty of Engineering & Information Technology en_US
dc.conference Verified OK en_US
dc.for 1117 Public Health and Health Services
dc.for 0806 Information Systems
dc.personcode 010772
dc.percentage 50 en_US
dc.classification.name Information Systems en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity 20110816 en_US
dc.date.activity 2011-08-16
dc.location.activity Las Vegas Nevada USA en_US
dc.description.keywords Body Area Wireless Sensor Network
dc.description.keywords ACLF
dc.description.keywords Confidentiality
dc.description.keywords Integrity
dc.description.keywords Privacy
dc.description.keywords Healthcare
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computing and Communications
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
pubs.consider-herdc true
utslib.collection.history Closed (ID: 3)


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