Show simple item record

dc.contributor.authorYuan, Bo
dc.contributor.authorGu, Jiayan
dc.contributor.authorLiu, Lu
dc.date.accessioned2020-09-17T09:03:26Z
dc.date.available2020-09-17T09:03:26Z
dc.date.issued2020-04-09
dc.identifier.citationYuan, B., Gu, J. and Liu, L., (2019). ‘A Privacy-Preserved Probabilistic Routing Index Model for Decentralised Online Social Networks’. IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation Conference, Leicester, 19-23 Aug. New York: IEEE, pp. 1711-1716.en_US
dc.identifier.doi10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00305
dc.identifier.urihttp://hdl.handle.net/10545/625170
dc.description.abstractDespite the tremendous success of online social networks (OSNs), centrally controlled OSNs have inherent issues related to lack of user privacy and single point of failure. These limitations have motivated the research community to shift the computing paradigm from a centralised architecture to decentralised alternatives. Existing research works mainly focused on the routing mechanisms using social information in decentralised OSNs, without considering the user's privacy. This paper proposes a self-organised decentralised architecture (SDA) that leverages privacy-preserved routing methods to facilitate query routing in decentralised social networks. This architecture encompasses a hash-based profiling model to characterise semantic features of the user's content with low dimensionality and privacy-aware mechanisms to organise similarity users into semantic communities. Furthermore, a probabilistic routing method is proposed to support efficient information dissemination and service discovery. The correctness and efficiency of our proposed approach are evaluated through simulations on real-world datasets. The experimental results demonstrated that our approach achieved a better topological structure with high routing efficiency.en_US
dc.description.sponsorshipData Science Research Centre at the University of Derbyen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.urlhttps://ieeexplore.ieee.org/abstract/document/9060219/authors#authorsen_US
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.subjectDecentralisationen_US
dc.subjectOnline soical networksen_US
dc.subjectPrivacyen_US
dc.subjectRouting indexen_US
dc.titleA privacy-preserved probabilistic routing index model for decentralised online social networksen_US
dc.typeMeetings and Proceedingsen_US
dc.contributor.departmentUniversity of Derbyen_US
dc.contributor.departmentUniversity of Leicesteren_US
dc.identifier.journalProceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019en_US
dc.identifier.eid2-s2.0-85083586589
dc.identifier.scopusidSCOPUS_ID:85083586589
dc.source.journaltitleProceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019
dc.source.beginpage1711
dc.source.endpage1716
dcterms.dateAccepted2019-07-01
dc.author.detailSTF1867en_US


This item appears in the following Collection(s)

Show simple item record

Attribution-NonCommercial-ShareAlike 4.0 International
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 4.0 International