Bolton, T 
ORCID: https://orcid.org/0000-0003-1599-8400, Dargahi, T ORCID: https://orcid.org/0000-0002-0908-6483, Belguith, S ORCID: https://orcid.org/0000-0003-0069-8552, Al-Rakhami, MS ORCID: https://orcid.org/0000-0001-5343-8370 and Sodhro, AH ORCID: https://orcid.org/0000-0001-5502-530X
2021,
'On the security and privacy challenges of virtual assistants'
, Sensors, 21 (7)
, e2312.
|
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Available under License Creative Commons Attribution 4.0. Download (8MB) | Preview |
Abstract
Since the purchase of Siri by Apple, and its release with the iPhone 4S in 2011, virtual assistants (VAs) have grown in number and popularity. The sophisticated natural language processing and speech recognition employed by VAs enables users to interact with them conversationally, almost as they would with another human. To service user voice requests, VAs transmit large amounts of data to their vendors; these data are processed and stored in the Cloud. The potential data security and privacy issues involved in this process provided the motivation to examine the current state of the art in VA research. In this study, we identify peer-reviewed literature that focuses on security and privacy concerns surrounding these assistants, including current trends in addressing how voice assistants are vulnerable to malicious attacks and worries that the VA is recording without the user’s knowledge or consent. The findings show that not only are these worries manifold, but there is a gap in the current state of the art, and no current literature reviews on the topic exist. This review sheds light on future research directions, such as providing solutions to perform voice authentication without an external device, and the compliance of VAs with privacy regulations.
| Item Type: | Article |
|---|---|
| Contributors: | Ghinea, G (Editor) |
| Additional Information: | ** From MDPI via Jisc Publications Router ** Licence for this article: https://creativecommons.org/licenses/by/4.0/ **Journal IDs: eissn 1424-8220 **History: published 26-03-2021; accepted 21-03-2021 |
| Schools: | Schools > School of Computing, Science and Engineering |
| Journal or Publication Title: | Sensors |
| Publisher: | MDPI |
| ISSN: | 1424-8220 |
| Related URLs: | |
| SWORD Depositor: | Publications Router |
| Depositing User: | Publications Router |
| Date Deposited: | 29 Mar 2021 08:34 |
| Last Modified: | 16 Feb 2022 06:56 |
| URI: | https://usir.salford.ac.uk/id/eprint/59944 |
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