Please use this identifier to cite or link to this item: https://ruomo.lib.uom.gr/handle/7000/306
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dc.contributor.authorMemos, Vasileios A.-
dc.contributor.authorPsannis, Kostas E.-
dc.contributor.authorGoudos, Sotirios K.-
dc.contributor.authorKyriazakos, Sofoklis-
dc.date.accessioned2019-10-30T09:10:58Z-
dc.date.available2019-10-30T09:10:58Z-
dc.date.issued2021-
dc.identifier10.1007/s11277-019-06874-1en_US
dc.identifier.issn0929-6212en_US
dc.identifier.urihttps://doi.org/10.1007/s11277-019-06874-1en_US
dc.identifier.urihttps://ruomo.lib.uom.gr/handle/7000/306-
dc.description.abstractThe daily rapid malware growth and spread has enforced the security community of antivirus companies to introduce cloud computing technology to their existing protection methods so as to be able to deal with efficiently the active malware threats. A new hybrid security model, based on cloud computing, should be developed to offer optimized protection to the connected users. In this research, we describe our proposed cloud infrastructure and analyze it with mathematical models to export significant diagrams about various metrics. Our cloud model architecture consists of four layers: the master cloud server, the slave servers, the virtual subservers and the users connected to the cloud. Experimental results demonstrate that our proposed layered cloud architecture verifies the trust of its implementation and establishment, due to the fact that it makes the current architecture more lightweight, efficient and secure for e-health data transmission.en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.sourceWireless Personal Communicationsen_US
dc.subjectFRASCATI::Engineering and technologyen_US
dc.subject.othere-Health, Cloud security, Cloud model infrastructure, Layered cloud architecture, Virtualization, Mathematical model.en_US
dc.titleAn Enhanced and Secure Cloud Infrastructure for e-Health Data Transmissionen_US
dc.typeArticleen_US
dc.contributor.departmentΤμήμα Εφαρμοσμένης Πληροφορικήςen_US
local.identifier.volume117-
local.identifier.firstpage109-
local.identifier.lastpage127-
local.identifier.eissn1572-834Xen_US
Appears in Collections:Department of Applied Informatics

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