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.
Original language | English |
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Pages (from-to) | 46-53 |
Number of pages | 8 |
Journal | IT Professional |
Volume | 22 |
Issue number | 5 |
DOIs | |
Publication status | Published - 10 Sept 2020 |