A Literature Survey on Smart Toy-related Children's Privacy Risks

dc.contributor.author Fantinato, Marcelo
dc.contributor.author Albuquerque, Otávio De Paula
dc.contributor.author De Albuquerque, Anna Priscilla
dc.contributor.author Kelner, Judith
dc.contributor.author Yankson, Benjamin
dc.date.accessioned 2020-01-04T07:27:09Z
dc.date.available 2020-01-04T07:27:09Z
dc.date.issued 2020-01-07
dc.description.abstract Smart toys have become popular as technological solutions offer a better experience for children. However, the technology used increases the risks to children's privacy, which does not seem to have become a real concern for toy makers. Most researchers in this domain are vague in defining their motivations due to lack of an expert survey to support them. We conducted a literature survey to find papers on smart toy-related children's privacy risks and mitigation solutions. We analyzed 26 papers using a taxonomy for privacy principles and preserving techniques adapted from the IoT context. Our analysis shows that some types of risks received more attention, especially (a) confidentiality, (b) use, retention and disclosure limitation, (c) authorization, (d) consent and choice, (e) openness, transparency and notice and (f) authentication. As for solutions, few were effectively presented; the vast majority related to data restriction -- (a) access control and (b) cryptographic.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2020.182
dc.identifier.isbn 978-0-9981331-3-3
dc.identifier.uri http://hdl.handle.net/10125/63921
dc.language.iso eng
dc.relation.ispartof Proceedings of the 53rd Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Machine Learning, Robotic, and Toy Computing
dc.subject literature review
dc.subject literature survey
dc.subject privacy
dc.subject security
dc.subject smart toys
dc.title A Literature Survey on Smart Toy-related Children's Privacy Risks
dc.type Conference Paper
dc.type.dcmi Text
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