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dc.contributor.authorLeister, Wen_US
dc.contributor.authorHamdi, Men_US
dc.contributor.authorAbie, Hen_US
dc.contributor.authorPoslad, Sen_US
dc.date.accessioned2016-09-20T11:27:52Z
dc.date.available2014-06-01en_US
dc.date.issued2014-12-01en_US
dc.date.submitted2015-12-09T00:26:46.928Z
dc.identifier.issn1942-2636en_US
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/15455
dc.descriptionThe work presented here has been carried out in the project ASSET – Adaptive Security for Smart Internet of Things in eHealth (2012–2015) funded by the Research Council of Norway in the VERDIKT programme. W
dc.descriptionThe work presented here has been carried out in the project ASSET – Adaptive Security for Smart Internet of Things in eHealth (2012–2015) funded by the Research Council of Norway in the VERDIKT programme. Wen_US
dc.description.abstract—We present an assessment framework to evaluate adaptive security algorithms specifically for the Internet of Things (IoT) in eHealth applications. The successful deployment of the IoT depends on ensuring security and privacy, which need to adapt to the processing capabilities and resource use of the IoT. We develop a framework for the assessment and validation of context-aware adaptive security solutions for the IoT in eHealth that can quantify the characteristics and requirements of a situation. We present the properties to be fulfilled by a scenario to assess and quantify characteristics for the adaptive security solutions for eHealth. We then develop scenarios for patients with chronic diseases using biomedical sensors. These scenarios are used to create storylines for a chronic patient living at home or being treated in the hospital. We show numeric examples for how to apply our framework. We also present guidelines how to integrate our framework to evaluating adaptive security solutionsen_US
dc.description.sponsorshipThe work presented here has been carried out in the project ASSET – Adaptive Security for Smart Internet of Things in eHealth (2012–2015) funded by the Research Council of Norway in the VERDIKT programme.en_US
dc.format.extent93 - 109 (17)en_US
dc.languageEnglishen_US
dc.language.isoenen_US
dc.relation.ispartofInternational Journal on Advancesen_US
dc.subjectInternet of Thingsen_US
dc.subjectevaluation frameworken_US
dc.subjectscenariosen_US
dc.subjectassessmenten_US
dc.subjecteHealth systemsen_US
dc.subjectadaptive securityen_US
dc.titleAn Evaluation Framework for Adaptive Security for the IoT in eHealthen_US
dc.typeArticle
dc.rights.holder2014, © Copyright by authors, Published under agreement with IARIA -
pubs.issue3-4en_US
pubs.notesNot knownen_US
pubs.organisational-group/Queen Mary University of London
pubs.organisational-group/Queen Mary University of London/Faculty of Science & Engineering
pubs.organisational-group/Queen Mary University of London/Faculty of Science & Engineering/Electronic Engineering and Computer Science - Staff
pubs.publication-statusPublisheden_US
pubs.publisher-urlhttp://www.iariajournals.org/security/sec_v7_n34_2014_paged.pdfen_US
pubs.volume7en_US
dcterms.dateAccepted2014-06-01en_US


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