Poster: A first look at the privacy risks of voice assistant apps

Atsuko Natatsuka, Mitsuaki Akiyama, Ryo Iijima, Tetsuya Sakai, Takuya Watanabe, Tatsuya Mori

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this study, we conduct the first study on the analysis of voice assistant (VA) apps. We first collect the metadata of VA apps from the VA app directory and analyze them. Next, we call VA apps by the corresponding voice commands and examine how they identify users by analyzing the responses from the apps. We found that roughly half of the VA apps performed user identification by some means. We also found that several apps aim to acquire personal information such as birth date, age, or the blood type through voice conversations. As such data will be stored in the cloud, we need to have a mechanism to ensure that an end-user can check/control the data in a usable way.

Original languageEnglish
Title of host publicationCCS 2019 - Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security
PublisherAssociation for Computing Machinery
Pages2633-2635
Number of pages3
ISBN (Electronic)9781450367479
DOIs
Publication statusPublished - 2019 Nov 6
Event26th ACM SIGSAC Conference on Computer and Communications Security, CCS 2019 - London, United Kingdom
Duration: 2019 Nov 112019 Nov 15

Publication series

NameProceedings of the ACM Conference on Computer and Communications Security
ISSN (Print)1543-7221

Conference

Conference26th ACM SIGSAC Conference on Computer and Communications Security, CCS 2019
CountryUnited Kingdom
CityLondon
Period19/11/1119/11/15

Keywords

  • Measurement
  • Privacy
  • Voice assistance apps

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications

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  • Cite this

    Natatsuka, A., Akiyama, M., Iijima, R., Sakai, T., Watanabe, T., & Mori, T. (2019). Poster: A first look at the privacy risks of voice assistant apps. In CCS 2019 - Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security (pp. 2633-2635). (Proceedings of the ACM Conference on Computer and Communications Security). Association for Computing Machinery. https://doi.org/10.1145/3319535.3363274