To trust or not-trust: Privacy issues with voice assistants

Journal article

Authors/Editors

Strategic Research Themes

Internet of Things (Digital Transformation)

Publication Details

Author list: Pal D., Arpnikanondt C., Razzaque M.A., Funilkul S.

Publisher: Institute of Electrical and Electronics Engineers

Publication year: 2020

Volume number: 22

Issue number: 5

Start page: 46

End page: 53

Number of pages: 8

ISSN: 1520-9202

eISSN: 1941-045X

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091267277&doi=10.1109%2fMITP.2019.2958914&partnerID=40&md5=fd2d6c22bf26ee889edc8fc1d86674b1

Languages: English-Great Britain (EN-GB)

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Abstract

The use of commercially available voice assistants (VA) that enable personal data collection on a large scale is on the rise. However, knowledge discovery on such data can lead to the violation of various privacy issues. This article presents the various stakeholders who are a part of this privacy regime, along with a detailed taxonomy of the various privacy issues existing currently in the VA world. This is supplemented by a privacy preserving trust model that discusses the various antecedents of the privacy issues identified, which will enable the end-users to have a greater level of trust in using the VA. © 1999-2012 IEEE.

Keywords

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