Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/61811
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dc.contributor.authorLi, Feien
dc.contributor.authorZhang, Haoxien
dc.contributor.authorGao, Luluen
dc.contributor.authorWang, Juanen
dc.contributor.authorSanin, Cesaren
dc.contributor.authorSzczerbicki, Edwarden
dc.date.accessioned2024-07-25T08:23:08Z-
dc.date.available2024-07-25T08:23:08Z-
dc.date.issued2019-
dc.identifier.citationCybernetics and Systems, 50(2), p. 230-237en
dc.identifier.issn1087-6553en
dc.identifier.issn0196-9722en
dc.identifier.urihttps://hdl.handle.net/1959.11/61811-
dc.description.abstract<p>In this article, we introduce a novel security mechanism, the Smart Synergy Security (3S). The mechanism uses the Set of Experience Knowledge Structure (SOEKS) and the synergy of security methods in different domains to provide the global optimal security strategy. The proposed strategy is taking into account the characteristics of information security (i.e. confidentiality, integrity, availability, controllability, and reviewability) imposed in different domains in Internet of Vehicles (IoV). The SOEKS is used to represent knowledge, and is combined with the data flow in each domain. Initial experiments demonstrate that the proposed approach is able to find the optimal solution under different conditions for multi-domain security problems in IoV.</p>en
dc.languageenen
dc.publisherTaylor & Francis Incen
dc.relation.ispartofCybernetics and Systemsen
dc.titleA Set of Experience-Based Smart Synergy Security Mechanism in Internet of Vehiclesen
dc.typeJournal Articleen
dc.identifier.doi10.1080/01969722.2019.1565115en
local.contributor.firstnameFeien
local.contributor.firstnameHaoxien
local.contributor.firstnameLuluen
local.contributor.firstnameJuanen
local.contributor.firstnameCesaren
local.contributor.firstnameEdwarden
local.profile.schoolSchool of Science and Technologyen
local.profile.emailcmaldon3@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeUnited States of Americaen
local.format.startpage230en
local.format.endpage237en
local.peerreviewedYesen
local.identifier.volume50en
local.identifier.issue2en
local.contributor.lastnameLien
local.contributor.lastnameZhangen
local.contributor.lastnameGaoen
local.contributor.lastnameWangen
local.contributor.lastnameSaninen
local.contributor.lastnameSzczerbickien
dc.identifier.staffune-id:cmaldon3en
local.profile.orcid0000-0001-8515-417Xen
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/61811en
local.date.onlineversion2019-
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleA Set of Experience-Based Smart Synergy Security Mechanism in Internet of Vehiclesen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorLi, Feien
local.search.authorZhang, Haoxien
local.search.authorGao, Luluen
local.search.authorWang, Juanen
local.search.authorSanin, Cesaren
local.search.authorSzczerbicki, Edwarden
local.uneassociationNoen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.available2019en
local.year.published2019en
local.fileurl.closedpublishedhttps://rune.une.edu.au/web/retrieve/81caa39f-d4b4-4a36-b55a-9f0b89ac3845en
local.subject.for20204602 Artificial intelligenceen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.date.moved2024-08-01en
Appears in Collections:Journal Article
School of Science and Technology
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