TY - GEN
T1 - Poster
T2 - 26th ACM SIGSAC Conference on Computer and Communications Security, CCS 2019
AU - Natatsuka, Atsuko
AU - Akiyama, Mitsuaki
AU - Iijima, Ryo
AU - Sakai, Tetsuya
AU - Watanabe, Takuya
AU - Mori, Tatsuya
N1 - Funding Information:
A part of this work was supported by JSPS Grant-in-Aid for Scientific Research, Grant Number 18K19789 and 19H04111.
Publisher Copyright:
© 2019 Association for Computing Machinery.
PY - 2019/11/6
Y1 - 2019/11/6
N2 - 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.
AB - 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.
KW - Measurement
KW - Privacy
KW - Voice assistance apps
UR - http://www.scopus.com/inward/record.url?scp=85075909341&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85075909341&partnerID=8YFLogxK
U2 - 10.1145/3319535.3363274
DO - 10.1145/3319535.3363274
M3 - Conference contribution
AN - SCOPUS:85075909341
T3 - Proceedings of the ACM Conference on Computer and Communications Security
SP - 2633
EP - 2635
BT - CCS 2019 - Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security
PB - Association for Computing Machinery
Y2 - 11 November 2019 through 15 November 2019
ER -