抄録
Recently, smart speakers like Amazon Echo and Google Home have been spread widely. Those devices support users' life through voice interface by receiving voice commands to operate appliances and order goods to online shops. Meanwhile, it is reported that smart speakers are vulnerable to some malicious attacks which steal personal information and/or order unnecessary goods by uttering voice from a device nearby the speaker, abusing the fact that the smart speakers cannot distinguish human voice from machine voice. A new type of attack called DolphinAttack which utters ultrasonic voice inaudible to human is also reported. Therefore, a method to identify which of human or machine is sending voice commands to a smart speaker is desired. In this paper, to prevent such machine-voice based attacks to a smart speaker in absence of residents, we propose a system consisting of a speaker and a microphone array to detect the existence of a human nearby, supposing it can be incorporated in a smart speaker in the future. In our proposed system, the speaker emits sonar sound generated based on Orthogonal Frequency Division Multiplexing (OFDM) in all directions, the microphone array with 8 channels attached on top of the speaker receives the reflected sound, and the human existence is judged by comparing the reflected sound with that measured in the same environment without human. Through experiments with a prototype system, we confirmed that our proposed system can detect the human existence by measuring the reflected signal of 0.5 second.
| 元の言語 | 英語 |
|---|---|
| ホスト出版物のタイトル | 2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019 |
| 出版者 | Institute of Electrical and Electronics Engineers Inc. |
| ページ | 523-528 |
| ページ数 | 6 |
| ISBN（電子版） | 9781538691519 |
| DOI | |
| 出版物ステータス | 出版済み - 3 1 2019 |
| イベント | 2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019 - Kyoto, 日本 継続期間: 3 11 2019 → 3 15 2019 |
出版物シリーズ
| 名前 | 2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019 |
|---|
会議
| 会議 | 2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019 |
|---|---|
| 国 | 日本 |
| 市 | Kyoto |
| 期間 | 3/11/19 → 3/15/19 |
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All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Computer Science Applications
- Information Systems and Management
- Artificial Intelligence
これを引用
Detecting Surrounding Users by Reverberation Analysis with a Smart Speaker and Microphone Array. / Yoneoka, Naoki; Arakawa, Yutaka; Yasumoto, Keiichi.
2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 523-528 8730674 (2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019).研究成果: 著書/レポートタイプへの貢献 › 会議での発言
}
TY - GEN
T1 - Detecting Surrounding Users by Reverberation Analysis with a Smart Speaker and Microphone Array
AU - Yoneoka, Naoki
AU - Arakawa, Yutaka
AU - Yasumoto, Keiichi
PY - 2019/3/1
Y1 - 2019/3/1
N2 - Recently, smart speakers like Amazon Echo and Google Home have been spread widely. Those devices support users' life through voice interface by receiving voice commands to operate appliances and order goods to online shops. Meanwhile, it is reported that smart speakers are vulnerable to some malicious attacks which steal personal information and/or order unnecessary goods by uttering voice from a device nearby the speaker, abusing the fact that the smart speakers cannot distinguish human voice from machine voice. A new type of attack called DolphinAttack which utters ultrasonic voice inaudible to human is also reported. Therefore, a method to identify which of human or machine is sending voice commands to a smart speaker is desired. In this paper, to prevent such machine-voice based attacks to a smart speaker in absence of residents, we propose a system consisting of a speaker and a microphone array to detect the existence of a human nearby, supposing it can be incorporated in a smart speaker in the future. In our proposed system, the speaker emits sonar sound generated based on Orthogonal Frequency Division Multiplexing (OFDM) in all directions, the microphone array with 8 channels attached on top of the speaker receives the reflected sound, and the human existence is judged by comparing the reflected sound with that measured in the same environment without human. Through experiments with a prototype system, we confirmed that our proposed system can detect the human existence by measuring the reflected signal of 0.5 second.
AB - Recently, smart speakers like Amazon Echo and Google Home have been spread widely. Those devices support users' life through voice interface by receiving voice commands to operate appliances and order goods to online shops. Meanwhile, it is reported that smart speakers are vulnerable to some malicious attacks which steal personal information and/or order unnecessary goods by uttering voice from a device nearby the speaker, abusing the fact that the smart speakers cannot distinguish human voice from machine voice. A new type of attack called DolphinAttack which utters ultrasonic voice inaudible to human is also reported. Therefore, a method to identify which of human or machine is sending voice commands to a smart speaker is desired. In this paper, to prevent such machine-voice based attacks to a smart speaker in absence of residents, we propose a system consisting of a speaker and a microphone array to detect the existence of a human nearby, supposing it can be incorporated in a smart speaker in the future. In our proposed system, the speaker emits sonar sound generated based on Orthogonal Frequency Division Multiplexing (OFDM) in all directions, the microphone array with 8 channels attached on top of the speaker receives the reflected sound, and the human existence is judged by comparing the reflected sound with that measured in the same environment without human. Through experiments with a prototype system, we confirmed that our proposed system can detect the human existence by measuring the reflected signal of 0.5 second.
UR - http://www.scopus.com/inward/record.url?scp=85067971746&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85067971746&partnerID=8YFLogxK
U2 - 10.1109/PERCOMW.2019.8730674
DO - 10.1109/PERCOMW.2019.8730674
M3 - Conference contribution
AN - SCOPUS:85067971746
T3 - 2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019
SP - 523
EP - 528
BT - 2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019
PB - Institute of Electrical and Electronics Engineers Inc.
ER -