| Presentation | 2014-07-11 Tamper Resistance PUF ID based on Secret Sharing Schemes Yusuke Nozaki, Masaya Yoshikawa, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In recently years, semiconductor counterfeiting has become a serious problem. To prevent the problem, Physical Unclonable Function (PUF) attracts attention. PUF which utilizes random characteristic patterns prevents counterfeiting. Even if all circuit patterns are duplicated, PUF can identify genuineness semiconductor. However, the conventional PUF is weak against machine learning attacks. This study proposes generating method of PUFID that has tamper resistance. The proposed method uses secret sharing schemes. It eliminates the correlation between PUFID and model of PUF. Simulation results by machine learning attacks using SVM show that the prediction ratio of the proposed method was less than 1%, while that of conventional one was more than 99%. The proposed method achieved higher tamper resistance than conventional one. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Physical Unclonable Function / security / machine learning attacks / secret sharing schemes |
| Paper # | CAS2014-42,VLD2014-51,SIP2014-63,MSS2014-42,SIS2014-42 |
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| Conference Information | |
| Committee | MSS |
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| Conference Date | 2014/7/2(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Mathematical Systems Science and its applications(MSS) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Tamper Resistance PUF ID based on Secret Sharing Schemes |
| Sub Title (in English) | |
| Keyword(1) | Physical Unclonable Function |
| Keyword(2) | security |
| Keyword(3) | machine learning attacks |
| Keyword(4) | secret sharing schemes |
| 1st Author's Name | Yusuke Nozaki |
| 1st Author's Affiliation | Department of Information Engineering Graduate School of Science and Technology, Meijo University() |
| 2nd Author's Name | Masaya Yoshikawa |
| 2nd Author's Affiliation | Department of Information Engineering Faculty of Science and Technology, Meijo University |
| Date | 2014-07-11 |
| Paper # | CAS2014-42,VLD2014-51,SIP2014-63,MSS2014-42,SIS2014-42 |
| Volume (vol) | vol.114 |
| Number (no) | 125 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |