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| Presentation | 2022-03-08 15:45 Evaluation Method for EM Information Leakage from Speakerphone Using Voice Frequency Spectrum Analysis Hiroyuki Ueda, Seiya Takano, Daisuke Fujimoto, Yuichi Hayashi (NAIST)  VLD2021-102 HWS2021-79 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The usage environment for speakerphones becomes more diverse with remote work. As a result, the surrounding environment may increase information leakage from speakerphones. However, the leakage evaluation method using spectrograms in existing studies is qualitative. Therefore, it is difficult to compare the information leakage level in different usage environments. This paper proposes an evaluation method for the threat of sound information leakage from speakerphones via EM waves by calculating the correlation value of the frequency spectrum between the input audio signal and the restored audio. Specifically, a random alphabetic sequence created by speech synthesis is used as the input voice. The frequency spectrum of the voice information recovered from the EM waves generated from the speakerphone is calculated. Next, the similarity between this and the frequency spectrum of the original speech signal is calculated using Pearson's correlation coefficient. In this way, the audio information in the EM waves leaked from the speakerphone is evaluated. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Speakerphone / EM information leakage / Leakage evaluation / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 413, HWS2021-79, pp. 147-152, March 2022. | |
| Paper # | HWS2021-79 | |
| Date of Issue | 2022-02-28 (VLD, HWS) | |
| 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 | VLD2021-102 HWS2021-79 |
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| Conference Information | |
| Committee | VLD HWS |
| Conference Date | 2022-03-07 - 2022-03-08 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Design Technology for System-on-Silicon, Hardware Security, etc. |
| Paper Information | |
| Registration To | HWS |
| Conference Code | 2022-03-VLD-HWS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Evaluation Method for EM Information Leakage from Speakerphone Using Voice Frequency Spectrum Analysis |
| Sub Title (in English) | |
| Keyword(1) | Speakerphone |
| Keyword(2) | EM information leakage |
| Keyword(3) | Leakage evaluation |
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| 1st Author's Name | Hiroyuki Ueda |
| 1st Author's Affiliation | Nara Institute of Science and Technology (NAIST) |
| 2nd Author's Name | Seiya Takano |
| 2nd Author's Affiliation | Nara Institute of Science and Technology (NAIST) |
| 3rd Author's Name | Daisuke Fujimoto |
| 3rd Author's Affiliation | Nara Institute of Science and Technology (NAIST) |
| 4th Author's Name | Yuichi Hayashi |
| 4th Author's Affiliation | Nara Institute of Science and Technology (NAIST) |
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| Speaker | Author-1 |
| Date Time | 2022-03-08 15:45:00 |
| Presentation Time | 25 minutes |
| Registration for | HWS |
| Paper # | VLD2021-102, HWS2021-79 |
| Volume (vol) | vol.121 |
| Number (no) | no.412(VLD), no.413(HWS) |
| Page | pp.147-152 |
| #Pages | 6 |
| Date of Issue | 2022-02-28 (VLD, HWS) |
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