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dc.contributor.authorPerera, Charith
dc.contributor.authorBarhamgi, Mahmoud
dc.contributor.authorBandara, Arosha K.
dc.contributor.authorAjmal, Muhammad
dc.contributor.authorPrice, Blaine
dc.contributor.authorNuseibeh, Bashar
dc.date.accessioned2020-06-25T15:36:55Z
dc.date.available2020-06-25T15:36:55Z
dc.date.issued2019-09-28
dc.identifier.citationPerera, C., Barhamgi, M., Bandara, A.K., Ajmal, M., Price, B. and Nuseibeh, B., (2020). 'Designing privacy-aware internet of things applications'. Information Sciences, 512, pp. 238-257.en_US
dc.identifier.issn0020-0255
dc.identifier.doi10.1016/j.ins.2019.09.061
dc.identifier.urihttp://hdl.handle.net/10545/624931
dc.description.abstractInternet of Things (IoT) applications typically collect and analyse personal data that can be used to derive sensitive information about individuals. However, thus far, privacy concerns have not been explicitly considered in software engineering processes when designing IoT applications. With the advent of behaviour driven security mechanisms, failing to address privacy concerns in the design of IoT applications can also have security implications. In this paper, we explore how a Privacy-by-Design (PbD) framework, formulated as a set of guidelines, can help software engineers integrate data privacy considerations into the design of IoT applications. We studied the utility of this PbD framework by studying how software engineers use it to design IoT applications. We also explore the challenges in using the set of guidelines to influence the IoT applications design process. In addition to highlighting the benefits of having a PbD framework to make privacy features explicit during the design of IoT applications, our studies also surfaced a number of challenges associated with the approach. A key finding of our research is that the PbD framework significantly increases both novice and expert software engineers’ ability to design privacy into IoT applications.en_US
dc.description.sponsorshipEPSRC PETRAS 2en_US
dc.language.isoenen_US
dc.publisherElsevier BVen_US
dc.relation.urlhttps://www.sciencedirect.com/science/article/pii/S0020025519309120?via%3Dihuben_US
dc.relation.urlhttp://oro.open.ac.uk/id/eprint/66920en_US
dc.subjectInformation Systems and Managementen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectComputer Science Applicationsen_US
dc.titleDesigning privacy-aware internet of things applicationsen_US
dc.typeArticleen_US
dc.contributor.departmentCardiff Universityen_US
dc.contributor.departmentUniversite Claude Bernard Lyonen_US
dc.contributor.departmentOpen University, United Kingdomen_US
dc.contributor.departmentUniversity of Derbyen_US
dc.identifier.journalElsevier Information Sciencesen_US
dcterms.dateAccepted2019-09-24
dc.author.detail786678en_US


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