Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/14952
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dc.contributor.authorSule, M-J-
dc.contributor.authorLi, M-
dc.contributor.authorTaylor, G-
dc.contributor.authorOnime, C-
dc.date.accessioned2017-07-25T12:13:29Z-
dc.date.available2017-07-25T12:13:29Z-
dc.date.issued2017-06-27-
dc.identifierORCID iDs: Maozhen Li https://orcid.org/0000-0002-0820-5487; Gareth Taylor https://orcid.org/0000-0003-0867-2365.-
dc.identifier.citationSule, M.-J. et al. (2017) 'A fuzzy logic approach to modelling trust in cloud computing', IET Cyber-Physical Systems: Theory & Applications, 2 (2), pp. 84 - 89. doi: 10.1049/IET-CPS.2017.0016.en_US
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/14952-
dc.description.abstractDespite the growing deployment of mission critical applications on computing systems, trust and security continues to hinder its full adoption and deployment on cloud computing platforms. In addition to accountability and non-repudiation on the cloud deployment, end-users want to be confident of availability and reliability of services. For any cloud platform to be secure and trusted, the individual layers of the platform must be secure as there is no ‘one fits all solution’ for securing all the layers. This work presents a multi-layer trust security model (MLTSM) based on unified cloud platform trust that employs a fuzzy logic combination of on-demand states of several different security mechanisms, such as identification, direct and in-direct trust, across all cloud layers. In addition, results from a MATLAB-based simulation of the model are also presented. A MLTSM can improve the secure deployment of cloud infrastructure in mission critical sectors such as electrical power system operation, as it provides empirical evidence that allows direct (on-demand) determination and verification of the trust state of any given cloud computing platform or service. Such a modelling approach is useful for comparison, classification and improving end-user confidence in selecting or consuming cloud computing resources.en_US
dc.description.sponsorshipEPSRC EP/K006487/1 (Developing Scalable Smart Grid Infrastructure to Enable Secure Transmission System Control)-
dc.format.mediumElectronic-
dc.language.isoenen_US
dc.publisherIETen_US
dc.rightsCopyright © 2021 The Institution of Engineering and Technology. This is an open access article published by the IET under the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/)-
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/-
dc.subjectdata securityen_US
dc.subjectInternet softwareen_US
dc.subjectformal logicen_US
dc.subjectsoftware reliabilityen_US
dc.subjecttrusted computingen_US
dc.subjectfuzzy logic approachen_US
dc.subjecttrust modelling-
dc.subjectcloud computing platforms-
dc.subjectmission critical applications-
dc.subjectservice availability-
dc.subjectservice reliability-
dc.subjectmultilayer trust security model (MLTSM)-
dc.subjectunified cloud platform trust-
dc.subjectidentification security mechanism-
dc.subjectdirect trust security mechanism-
dc.subjectin-direct trust security mechanism-
dc.subjectMATLAB-based simulation-
dc.subjectelectrical power system operation-
dc.subjectend-user confidence-
dc.subjectcloud computing resource consumption-
dc.subjectcloud computing resource selection-
dc.titleA fuzzy logic approach to modelling trust in cloud computingen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1049/IET-CPS.2017.0016-
dc.relation.isPartOfIET Cyber-Physical Systems: Theory & Applications-
pubs.issue2-
pubs.publication-statusPublished-
pubs.volume2-
dc.identifier.eissn2398-3396-
dc.rights.holderThe Institution of Engineering and Technology-
Appears in Collections:Dept of Computer Science Research Papers
Dept of Electronic and Electrical Engineering Research Papers

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