dc.contributor.author | Ovesen, Aril Bernhard | |
dc.contributor.author | Nordmo, Tor-Arne Schmidt | |
dc.contributor.author | Johansen, Håvard D. | |
dc.contributor.author | Riegler, Michael Alexander | |
dc.contributor.author | Halvorsen, Pål | |
dc.contributor.author | Johansen, Dag | |
dc.date.accessioned | 2021-11-19T08:32:22Z | |
dc.date.available | 2021-11-19T08:32:22Z | |
dc.date.issued | 2021-10-18 | |
dc.description.abstract | In 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.citation | Ovesen, Nordmo, Johansen, Riegler, Halvorsen, Johansen. File System Support for Privacy-Preserving Analysis and Forensics in Low-Bandwidth Edge Environments . Information. 2021 | en_US |
dc.identifier.cristinID | FRIDAID 1947539 | |
dc.identifier.doi | 10.3390/info12100430 | |
dc.identifier.issn | 2078-2489 | |
dc.identifier.uri | https://hdl.handle.net/10037/23075 | |
dc.language.iso | eng | en_US |
dc.publisher | MDPI | en_US |
dc.relation.ispartof | Nordmo, 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.journal | Information | |
dc.relation.projectID | Norges forskningsråd: 263248 | en_US |
dc.relation.projectID | Norges forskningsråd: 274451 | en_US |
dc.relation.projectID | info:eu-repo/grantAgreement/RCN/IKTPLUSS-IKT/274451/Norway/Efficient Trustworthy Computing with Blockchains and Biometrics// | en_US |
dc.relation.projectID | info:eu-repo/grantAgreement/RCN/IKTPLUSS-IKT/263248/Norway/Protecting Shared Data with Privacy Automatons// | en_US |
dc.rights.accessRights | openAccess | en_US |
dc.rights.holder | Copyright 2021 The Author(s) | en_US |
dc.subject | VDP::Samfunnsvitenskap: 200::Biblioteks- og informasjonsvitenskap: 320::Informasjons- og kommunikasjonssystemer : 321 | en_US |
dc.subject | VDP::Social sciences: 200::Library and information science: 320::Information and communication systems: 321 | en_US |
dc.title | File System Support for Privacy-Preserving Analysis and Forensics in Low-Bandwidth Edge Environments | en_US |
dc.type.version | publishedVersion | en_US |
dc.type | Journal article | en_US |
dc.type | Tidsskriftartikkel | en_US |
dc.type | Peer reviewed | en_US |