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| Presentation | 2021-03-02 14:05 Developing an Interactive Analysis System for Voice Assistant Apps Atsuko Natatsuka (Waseda Univ.), Ryo Iijima (Waseda Univ./NICT), Takuya Watanabe, Mitsuaki Akiyama (NTT), Tetsuya Sakai (Waseda Univ.), Tatsuya Mori (Waseda Univ./NICT)  ICSS2020-48 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (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) |
| (in English) | Voice Assistant / Cloud App / Privacy / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 384, ICSS2020-48, pp. 132-137, March 2021. | |
| Paper # | ICSS2020-48 | |
| Date of Issue | 2021-02-22 (ICSS) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | ICSS2020-48 |
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| Conference Information | |
| Committee | ICSS IPSJ-SPT |
| Conference Date | 2021-03-01 - 2021-03-02 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Security, Trust, etc. |
| Paper Information | |
| Registration To | ICSS |
| Conference Code | 2021-03-ICSS-SPT |
| Language | Japanese |
| 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 |
| Keyword(4) | |
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| 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) |
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| Speaker | Author-1 |
| Date Time | 2021-03-02 14:05:00 |
| Presentation Time | 25 minutes |
| Registration for | ICSS |
| Paper # | ICSS2020-48 |
| Volume (vol) | vol.120 |
| Number (no) | no.384 |
| Page | pp.132-137 |
| #Pages | 6 |
| Date of Issue | 2021-02-22 (ICSS) |
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