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dc.contributor.authorOvesen, Aril Bernhard
dc.contributor.authorNordmo, Tor-Arne Schmidt
dc.contributor.authorJohansen, Håvard D.
dc.contributor.authorRiegler, Michael Alexander
dc.contributor.authorHalvorsen, Pål
dc.contributor.authorJohansen, Dag
dc.date.accessioned2021-11-19T08:32:22Z
dc.date.available2021-11-19T08:32:22Z
dc.date.issued2021-10-18
dc.description.abstractIn this paper, we present initial results from our distributed edge systems research in the domain of sustainable harvesting of common good resources in the Arctic Ocean. Specifically, we are developing a digital platform for real-time privacy-preserving sustainability management in the domain of commercial fishery surveillance operations. This is in response to potentially privacy-infringing mandates from some governments to combat overfishing and other sustainability challenges. Our approach is to deploy sensory devices and distributed artificial intelligence algorithms on mobile, offshore fishing vessels and at mainland central control centers. To facilitate this, we need a novel data plane supporting efficient, available, secure, tamper-proof, and compliant data management in this weakly connected offshore environment. We have built our first prototype of Dorvu, a novel distributed file system in this context. Our devised architecture, the design trade-offs among conflicting properties, and our initial experiences are further detailed in this paper.en_US
dc.identifier.citationOvesen, Nordmo, Johansen, Riegler, Halvorsen, Johansen. File System Support for Privacy-Preserving Analysis and Forensics in Low-Bandwidth Edge Environments . Information. 2021en_US
dc.identifier.cristinIDFRIDAID 1947539
dc.identifier.doi10.3390/info12100430
dc.identifier.issn2078-2489
dc.identifier.urihttps://hdl.handle.net/10037/23075
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.relation.ispartofNordmo, T.A.S. (2023). Dutkat: A Privacy-Preserving System for Automatic Catch Documentation and Illegal Activity Detection in the Fishing Industry. (Doctoral thesis). <a href=https://hdl.handle.net/10037/29768>https://hdl.handle.net/10037/29768</a>.
dc.relation.journalInformation
dc.relation.projectIDNorges forskningsråd: 263248en_US
dc.relation.projectIDNorges forskningsråd: 274451en_US
dc.relation.projectIDinfo:eu-repo/grantAgreement/RCN/IKTPLUSS-IKT/274451/Norway/Efficient Trustworthy Computing with Blockchains and Biometrics//en_US
dc.relation.projectIDinfo:eu-repo/grantAgreement/RCN/IKTPLUSS-IKT/263248/Norway/Protecting Shared Data with Privacy Automatons//en_US
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2021 The Author(s)en_US
dc.subjectVDP::Samfunnsvitenskap: 200::Biblioteks- og informasjonsvitenskap: 320::Informasjons- og kommunikasjonssystemer : 321en_US
dc.subjectVDP::Social sciences: 200::Library and information science: 320::Information and communication systems: 321en_US
dc.titleFile System Support for Privacy-Preserving Analysis and Forensics in Low-Bandwidth Edge Environmentsen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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