Presentation | 2023-05-12 Evaluating Transmission Efficiency Impact on Screen Reconstruction Accuracy for High-Resolution Displays Taiki Kitazawa, Yuichi Hayashi, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In TEMPEST attacks targeting high-resolution displays with divided screens, reconstructing screen information proves difficult using conventional methods due to multiple emanation sources. This complexity arises as each pixel is transmitted via a distinct path, leading to an overlap of pixel information in the reconstructed images. To address this issue, we have proposed a method for reconstructing images on multi-area displays by leveraging differences in transfer efficiencies between emanation sources on each screen area and the measurement point, thereby separating screen information. Nonetheless, we have observed that reconstruction accuracy varies depending on the measurement parameters used to create differences in transfer efficiencies. The optimal selection of measurement parameters to yield highly accurate reconstruction still needs to be investigated. In this study, we examined the impact of measurement parameters on the reconstruction accuracy of reconstructed images, emphasizing measurement positions and receiving frequencies as variables to alter transfer efficiencies. By controlling emission intensity based on screen image operations and measuring their spectrum, we were able to evaluate the effects of measurement positions and receiving frequencies on transfer efficiencies. Moreover, we assessed the reconstruction accuracy of reconstructed images while modifying measurement parameters through convolutional neural networks. Our evaluations revealed that the reconstruction rate was approximately 30% when altering measurement positions and about 55% when adjusting receiving frequencies. Consequently, we confirmed that modifying receiving frequencies can enhance the separation accuracy of screen information, resulting in a higher information reconstruction rate. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | TEMPEST / electromagnetic information leakage / high-resolution display / convolutional neural network / independent component analysis |
Paper # | EMCJ2023-6 |
Date of Issue | 2023-05-05 (EMCJ) |
Conference Information | |
Committee | EMCJ / IEE-EMC / IEE-SPC |
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Conference Date | 2023/5/12(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | EMC |
Chair | Atsuhiro Nishikata(Tokyo Inst. of Tech.) / 牛尾 知雄(大阪大学) / 伊東 淳一(長岡技術科学大学) |
Vice Chair | Kimihiro Tajima(NTT-AT) / / 小高 章弘(富士電機) |
Secretary | Kimihiro Tajima(Hokkaido Univ.) / (Hitachi) / 小高 章弘(大阪大学) |
Assistant | Kiyoto Matsushima(Hitachi) / Kenji Ogata(ADOX) / Toru Matsushima(Kyushu Inst. of Tech.) / 椎名 健雄(電力中央研究所) / 日下 佳祐(長岡技術科学大学) / 高見 弘(芝浦工業大学) |
Paper Information | |
Registration To | Technical Committee on Electromagnetic Compatibility / Technical Meeting on Electromagnetic Compatibility / Technical Meeting on Semiconductor Power Converter |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Evaluating Transmission Efficiency Impact on Screen Reconstruction Accuracy for High-Resolution Displays |
Sub Title (in English) | |
Keyword(1) | TEMPEST |
Keyword(2) | electromagnetic information leakage |
Keyword(3) | high-resolution display |
Keyword(4) | convolutional neural network |
Keyword(5) | independent component analysis |
1st Author's Name | Taiki Kitazawa |
1st Author's Affiliation | Nara Institute of Science and Technology(NAIST) |
2nd Author's Name | Yuichi Hayashi |
2nd Author's Affiliation | Nara Institute of Science and Technology(NAIST) |
Date | 2023-05-12 |
Paper # | EMCJ2023-6 |
Volume (vol) | vol.123 |
Number (no) | EMCJ-20 |
Page | pp.pp.1-6(EMCJ), |
#Pages | 6 |
Date of Issue | 2023-05-05 (EMCJ) |