Unstructured Data for Cybersecurity and Internal Control

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dc.contributor.authorCanelón, Jesús
dc.contributor.authorHuerta, Esperanza
dc.contributor.authorLeal, Norma
dc.contributor.authorRyan, Terry
dc.date.accessioned2020-01-04T08:18:25Z
dc.date.available2020-01-04T08:18:25Z
dc.date.issued2020-01-07
dc.description.abstractThis paper proposes a research framework for studying the connections--realized and potential--between unstructured data and cybersecurity and internal controls. In the framework, cybersecurity and internal control goals determine the tasks to be conducted. The task influences the types of unstructured data to be accessed and the types of analysis to be done, which in turn influences the outcomes that can be achieved. Patterns in unstructured data are relevant for cybersecurity and internal control, but unstructured data poses unique challenges for its analysis and management. This paper discusses some of these challenges including veracity, structuralizing, bias, and explainability.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2020.665
dc.identifier.isbn978-0-9981331-3-3
dc.identifier.urihttp://hdl.handle.net/10125/64407
dc.language.isoeng
dc.relation.ispartofProceedings of the 53rd Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectData Analytics, Control Systems, Business Risks
dc.subjectcybersecurity
dc.subjectdata analytics
dc.subjectinternal control
dc.subjectunstructured data
dc.titleUnstructured Data for Cybersecurity and Internal Control
dc.typeConference Paper
dc.type.dcmiText

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