Presentation 2021-03-02
Developing an Interactive Analysis System for Voice Assistant Apps
Atsuko Natatsuka, Ryo Iijima, Takuya Watanabe, Mitsuaki Akiyama, Tetsuya Sakai, Tatsuya Mori,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In Voice Assistant Services, official or third-party Voice Assistant Apps (VA apps) are provided. Since a VA app works as a cloud service, most of the app's behavior lacks transparency. In addition, it is difficult to perform static and dynamic analysis, and there is a lack of tools for analyzing VA apps. The current situation where the actual condition of the VA app is not fully understood could lead to unexpected privacy risks. In this research, we have developed an interactive analysis system for Google Assistant which is a typical example of Voice Assistants. In this system, the interaction with the VA app is carried out by analyzing natural language responses. It is possible to comprehensively investigate the VA app by holding the past analysis information as a tree structure. As a result of the investigation by this system, we found that users can be easily tracked by the URL presented during the interaction and there are VA apps that do not meet the policy presented by Google. Finally, we discuss the ideal approaches that Voice Assistant platformers should take.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Voice Assistant / Cloud App / Privacy
Paper # ICSS2020-48
Date of Issue 2021-02-22 (ICSS)

Conference Information
Committee ICSS / IPSJ-SPT
Conference Date 2021/3/1(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Security, Trust, etc.
Chair Hiroki Takakura(NII)
Vice Chair Katsunari Yoshioka(Yokohama National Univ.) / Kazunori Kamiya(NTT)
Secretary Katsunari Yoshioka(NICT) / Kazunori Kamiya(KDDI labs.)
Assistant Keisuke Kito(Mitsubishi Electric) / Toshihiro Yamauchi(Okayama Univ.)

Paper Information
Registration To Technical Committee on Information and Communication System Security / Special Interest Group on Security Psychology and Trust
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Developing an Interactive Analysis System for Voice Assistant Apps
Sub Title (in English)
Keyword(1) Voice Assistant
Keyword(2) Cloud App
Keyword(3) Privacy
1st Author's Name Atsuko Natatsuka
1st Author's Affiliation Waseda University(Waseda Univ.)
2nd Author's Name Ryo Iijima
2nd Author's Affiliation Waseda University/National Institute of Information and Communications Technology(Waseda Univ./NICT)
3rd Author's Name Takuya Watanabe
3rd Author's Affiliation NTT Secure Platform Laboratories(NTT)
4th Author's Name Mitsuaki Akiyama
4th Author's Affiliation NTT Secure Platform Laboratories(NTT)
5th Author's Name Tetsuya Sakai
5th Author's Affiliation Waseda University(Waseda Univ.)
6th Author's Name Tatsuya Mori
6th Author's Affiliation Waseda University/National Institute of Information and Communications Technology(Waseda Univ./NICT)
Date 2021-03-02
Paper # ICSS2020-48
Volume (vol) vol.120
Number (no) ICSS-384
Page pp.pp.132-137(ICSS),
#Pages 6
Date of Issue 2021-02-22 (ICSS)