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Paper Abstract and Keywords
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
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)
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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  
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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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