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dc.contributor.authorMarkovic, Milan
dc.contributor.authorCorsar, David
dc.contributor.authorAsif, Waqar
dc.contributor.authorEdwards, Peter
dc.contributor.authorRajarajan, Muttukrishnan
dc.contributor.editorBelhajjame, Khalid
dc.contributor.editorGehani, Ashish
dc.contributor.editorAlper, Pinar
dc.date.accessioned2019-03-01T10:40:07Z
dc.date.available2019-03-01T10:40:07Z
dc.date.issued2018
dc.identifier126073621
dc.identifier55020e46-7884-43dc-93a8-4893f710e73f
dc.identifier85053834047
dc.identifier000477747000019
dc.identifier.citationMarkovic , M , Corsar , D , Asif , W , Edwards , P & Rajarajan , M 2018 , Towards Transparency of IoT Message Brokers . in K Belhajjame , A Gehani & P Alper (eds) , Provenance and Annotation of Data and Processes : 7th International Provenance and Annotation Workshop, IPAW 2018, London, UK, July 9-10, 2018, Proceedings . Lecture Notes in Computer Science , Springer , Chamonix , pp. 200-203 , 7th International Provenance and Annotation Workshop , London , United Kingdom , 9/07/18 . https://doi.org/10.1007/978-3-319-98379-0_19en
dc.identifier.citationconferenceen
dc.identifier.isbn978-3-319-98378-3
dc.identifier.isbn978-3-319-98379-0
dc.identifier.issn0302-9743
dc.identifier.otherORCID: /0000-0002-4527-9186/work/70471478
dc.identifier.urihttp://hdl.handle.net/2164/11979
dc.descriptionThe work described here was funded by the award made by the RCUK Digital Economy programme to the University of Aberdeen (EP/N028074/1) and City, University of London (EP/N028155/1)en
dc.format.extent4
dc.format.extent222808
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofProvenance and Annotation of Data and Processesen
dc.relation.ispartofseriesLecture Notes in Computer Scienceen
dc.subjectIoTen
dc.subjectMQTTen
dc.subjectprovenanceen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subject.lccQA75en
dc.titleTowards Transparency of IoT Message Brokersen
dc.typeConference itemen
dc.contributor.institutionUniversity of Aberdeen.Trusted Things and Communitiesen
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.identifier.doi10.1007/978-3-319-98379-0_19


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