Cyber-Analytics: Identifying Discriminants of Data Breaches

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dc.contributor.authorDolezel, Diane
dc.contributor.authorMcLeod, Alexander
dc.date.accessioned2020-04-13T13:25:55Z
dc.date.available2020-04-13T13:25:55Z
dc.date.issued2019-06
dc.description.abstractIn this study, the relationship between data breach characteristics and the number of individuals affected by these violations was considered. Data were acquired from the Department of Health and Human Services breach reporting database and analyzed using SPSS. Regression analyses revealed that the hacking/IT incident breach type and network server breach location were the most significant predictors of the number of individuals affected; however, they were not predictive when combined. Moreover, network server location and unauthorized access/disclosure breach type were predictive when combined. Additional analyses of variance revealed that covered entity type and business associate presence were significant predictors, while the geographic region of a breach occurrence was insignificant. The results of this study revealed several associations between healthcare breach characteristics and the number of individuals affected, suggesting that more individuals are affected in hacking/IT incidents and network server breaches independently and that network server breach location and unauthorized access/disclosure breach type were predictive in combination.
dc.description.departmentHealth Informatics and Information Management
dc.formatText
dc.format.extent17 pages
dc.format.medium1 file (.pdf)
dc.identifier.citationDolezel, D. M., & McLeod, A. (2019). Cyber-analytics: Identifying discriminants of data breaches. Perspectives in Health Information Management, 16(1a), pp. 1–17.
dc.identifier.issn1559-4122
dc.identifier.urihttps://hdl.handle.net/10877/9584
dc.language.isoen
dc.publisherAmerican Health Information Management Association
dc.sourcePerspectives in Health Information Management, Summer 2019, Vol. 16, No. 1a, pp. 1–17.
dc.subjectsecurity
dc.subjectprotected health information
dc.subjectbreach portal
dc.subjectsecurity modeling
dc.subjectcyber-analytics
dc.subjectdata breach
dc.subjectHealth Information Management
dc.titleCyber-Analytics: Identifying Discriminants of Data Breaches
dc.typeArticle

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