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dc.contributor.authorForfot, Alexander Daniel
dc.contributor.authorØstby, Grethe
dc.date.accessioned2022-10-19T08:12:46Z
dc.date.available2022-10-19T08:12:46Z
dc.date.created2021-04-02T09:54:35Z
dc.date.issued2021
dc.identifier.isbn978-3-030-71711-7
dc.identifier.urihttps://hdl.handle.net/11250/3026938
dc.description.abstractWith the increased adoption of IoT devices they have become an important source of digital evidence, and could be a vital part of investigations both for companies and law enforcement agencies. There are however some present challenges such as identification of devices, what data could be evidence (if the device stores any), and privacy. Because of this, digital forensics readiness is essential in these ecosystems. It is an important part of both risk assessment and preparation for contingencies. The devices, their potential, and procedures in case of an incident or attack, needs to be predetermined. In this paper we suggest a risk assessment model to prepare for forensic analysis in IoT, which we have called Forensics Readiness in IoT Implementation (FRIoTI), to meet the mentioned challenges.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.relation.ispartofProceeding of the 3rd International Conference on Intelligent Technologies and Applications (INTAP)
dc.relation.urihttps://link.springer.com/chapter/10.1007%2F978-3-030-71711-7_5
dc.titleDigital Forensic Readiness in IoT - A Risk Assessment Modelen_US
dc.typeChapteren_US
dc.description.versionacceptedVersionen_US
dc.source.pagenumber53-64en_US
dc.identifier.doihttps://doi.org/10.1007/978-3-030-71711-7_5
dc.identifier.cristin1901956
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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