| Presentation | 2022-07-04 Deep Learning Side-Channel Attacks for Rolled Architecture of PRINCE and Midori128 Shu Takemoto, Yoshiya Ikezaki, Yusuke Nozaki, Masaya Yoshikawa, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | With the recent expansion of small autonomous mobile robots such as drones, cyber security for small devices is very important. PRINCE and Midori128 have been proposed as typical low-power block ciphers for small devices. On the other hand, side-channel attacks have been reported to illegally analyze secret keys by using power consumption during cryptographic device operation. As the accuracy of deep neural networks improves, the technology is also being used in the security field. Deep Learning Side-Channel Attack (DL-SCA), a method for efficiently analyzing side-channel attacks using deep learning, has been proposed. For secure implementation of PRINCE and Midori128, it is important to evaluate tamper-resistance to DL-SCA. Therefore, This study evaluates the tamper-resistance of DL-SCA for PRINCE and Midori128, which are loop architecture implementations on Field Programmable Gate Array (FPGA). |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Deep Learning / Hardware Security / Lightweight Block Cipher / Side-Channel Attack |
| Paper # | AI2022-3 |
| Date of Issue | 2022-06-27 (AI) |
| Conference Information | |
| Committee | AI |
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| Conference Date | 2022/7/4(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Yuichi Sei(Univ. of Electro-Comm.) |
| Vice Chair | Yuko Sakurai(AIST) / Tadachika Ozono(Nagoya Inst. of Tech.) |
| Secretary | Yuko Sakurai(Tokyo Univ. of Agriculture and Technology) / Tadachika Ozono(Toho Univ.) |
| Assistant | Kazutaka Matsuzaki(Chuo Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Artificial Intelligence and Knowledge-Based Processing |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Deep Learning Side-Channel Attacks for Rolled Architecture of PRINCE and Midori128 |
| Sub Title (in English) | |
| Keyword(1) | Deep Learning |
| Keyword(2) | Hardware Security |
| Keyword(3) | Lightweight Block Cipher |
| Keyword(4) | Side-Channel Attack |
| 1st Author's Name | Shu Takemoto |
| 1st Author's Affiliation | Meijo University(Meijo Univ.) |
| 2nd Author's Name | Yoshiya Ikezaki |
| 2nd Author's Affiliation | Meijo University(Meijo Univ.) |
| 3rd Author's Name | Yusuke Nozaki |
| 3rd Author's Affiliation | Meijo University(Meijo Univ.) |
| 4th Author's Name | Masaya Yoshikawa |
| 4th Author's Affiliation | Meijo University(Meijo Univ.) |
| Date | 2022-07-04 |
| Paper # | AI2022-3 |
| Volume (vol) | vol.122 |
| Number (no) | AI-94 |
| Page | pp.pp.13-18(AI), |
| #Pages | 6 |
| Date of Issue | 2022-06-27 (AI) |