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dc.contributor.authorValacich, J. S.
dc.contributor.authorJenkins, J. L.
dc.contributor.authorCisic, D.
dc.date.accessioned2022-08-05T19:12:20Z
dc.date.available2022-08-05T19:12:20Z
dc.date.issued2022-05-23
dc.identifier.citationValacich, J. S., Jenkins, J. L., & Cisic, D. (2022). Digital Behavioral Biometrics and Privacy: Methods for Improving Business Processes without Compromising Customer Privacy. 2022 45th Jubilee International Convention on Information, Communication and Electronic Technology, MIPRO 2022 - Proceedings, 1019–1024.en_US
dc.identifier.doi10.23919/mipro55190.2022.9803621
dc.identifier.urihttp://hdl.handle.net/10150/665555
dc.description.abstractTo enable people to interact with online websites and systems, browsers capture a variety of events that occur on the page - such as how a person is moving the computer mouse, what a person clicks on, what a person types, and whether a person is scrolling. These events represent a user's behavior on a page, referred to as the DOM or Document Object Model, and are recorded at a millisecond precision rate (e.g., the exact millisecond timestamp when a key goes down and when it comes back up). Research and practice alike have found that these behavioral events can provide powerful insight into the users' experience, such as whether users are frustrated, and even help distinguish between legitimate and fraudulent users. In this paper, we present six best practices for responsibly collecting these digital behavioral biometric data to help protect user privacy as well as encourage proper interpretation. For each principle, we discuss its rationale and practical application.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.rights© 2022 Croatian Society MIPRO.en_US
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en_US
dc.source2022 45th Jubilee International Convention on Information, Communication and Electronic Technology (MIPRO)
dc.subjectdigital behavioral biometricen_US
dc.subjectdocument object model (DOM) eventsen_US
dc.subjectprivacyen_US
dc.subjectsecurityen_US
dc.titleDigital Behavioral Biometrics and Privacy: Methods for Improving Business Processes without Compromising Customer Privacyen_US
dc.typeArticleen_US
dc.contributor.departmentUniversity of Arizona, Management Information Systems Departmenten_US
dc.identifier.journal2022 45th Jubilee International Convention on Information, Communication and Electronic Technology, MIPRO 2022 - Proceedingsen_US
dc.description.noteImmediate accessen_US
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en_US
dc.eprint.versionFinal accepted manuscripten_US
refterms.dateFOA2022-08-05T19:12:20Z


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