| Presentation | 2022-07-19 A Study for Predicting Correlation Power Analysis Results by Using High-SNR Plaintexts Selected Based on Linear Leakage Model Masaki Himuro, Kengo Iokibe, Yoshitaka Toyota, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | To reduce the number of traces for evaluating side-channel attack (SCA) resistance, some methods for performing correlation power analysis (CPA) using a plaintext set that produces high-SNR side-channel leakage traces were proposed. The correlation coefficient obtained by such a selected-plaintext set can determine the presence or absence of leakage and the timing of leakage. However, it cannot be determined whether the correlation coefficient obtained under each evaluation condition is larger or smaller than the required level, and how much the leakage level is insufficient. We examined a method for estimating the correlation coefficient in a random plaintext set from the correlation coefficient obtained in the selected plaintext set. For estimation, we first assumed the SC leakage in a linear leakage model and derived a theoretical formula to estimate the correlation coefficient of all bytes of a random plaintext set from the correlation coefficient of the selected plaintext set. Next, we derived a theoretical formula to convert the correlation coefficient of all bytes into the correlation coefficient of each byte. This time, we measured power SC leakage at multiple measurement ports on the printed circuit board on which the AES circuit without SCA countermeasure was implemented on FPGA. Then, we were able to confirme that the derived theoretical formulas were valid. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | side-channel attack / correlation power analysis / AES / resistance prediction / selected-plaintext set / reduction of the number of plaintext |
| Paper # | ISEC2022-10,SITE2022-14,BioX2022-35,HWS2022-10,ICSS2022-18,EMM2022-18 |
| Date of Issue | 2022-07-12 (ISEC, SITE, BioX, HWS, ICSS, EMM) |
| Conference Information | |
| Committee | EMM / BioX / ISEC / SITE / ICSS / HWS / IPSJ-CSEC / IPSJ-SPT |
|---|---|
| Conference Date | 2022/7/19(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Ryoichi Nishimura(NICT) / Hitoshi Imaoka(NEC) / Noboru Kunihiro(Tsukuba Univ.) / Takushi Otani(Kibi International Univ.) / Katsunari Yoshioka(Yokohama National Univ.) / Makoto Nagata(Kobe Univ.) |
| Vice Chair | Kotaro Sonoda(Nagasaki Univ.) / Masatsugu Ichino(Univ. of Electro-Comm.) / Norihiko Okui(KDDI Research) / Naoyuki Takada(SECOM) / Junji Shikata(Yokohama National Univ.) / Goichiro Hanaoka(AIST) / Soichiro Morishita(Cyber Agent) / Takeo Tatsumi(Open Univ. of Japan) / Takahiro Kasama(NICT) / Yuichi Hayashi(NAIST) / Daisuke Suzuki(Mitsubishi Electric) |
| Secretary | Kotaro Sonoda(Kaishi Professional Univ.) / Masatsugu Ichino(Chiba Univ.) / Norihiko Okui(NEC) / Naoyuki Takada(MitsubishiElectric) / Junji Shikata(AIST) / Goichiro Hanaoka(Ibaraki Univ.) / Soichiro Morishita(NRI-Secure) / Takeo Tatsumi(Hokuriku Univ.) / Takahiro Kasama(KDDI labs.) / Yuichi Hayashi(Okayama Univ.) / Daisuke Suzuki(SSS) / (NAIST) |
| Assistant | Tomoko Kajiyama(Hiroshima City Univ.) / Shieyuki Sakazawa(Osaka Inst. of Tech.) / Hiroyuki Suzuki(Gunma Univ) / Shinichi Shirakawa(Yokohama National Univ.) / Yoshikazu Hanatani(Toshiba) / Yusuke Tachibana(Fukuoka Inst. of Tech.) / Keisuke Kito(Mitsubishi Electric) / Takeshi Sugawara(Univ. of Electro-Comm.) / Yo Kanemoto(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Enriched MultiMedia / Technical Committee on Biometrics / Technical Committee on Information Security / Technical Committee on Social Implications of Technology and Information Ethics / Technical Committee on Information and Communication System Security / Technical Committee on Hardware Security / Special Interest Group on Computer Security / Special Interest Group on Security Psychology and Trust |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study for Predicting Correlation Power Analysis Results by Using High-SNR Plaintexts Selected Based on Linear Leakage Model |
| Sub Title (in English) | |
| Keyword(1) | side-channel attack |
| Keyword(2) | correlation power analysis |
| Keyword(3) | AES |
| Keyword(4) | resistance prediction |
| Keyword(5) | selected-plaintext set |
| Keyword(6) | reduction of the number of plaintext |
| 1st Author's Name | Masaki Himuro |
| 1st Author's Affiliation | Okayama University(Okayama Univ.) |
| 2nd Author's Name | Kengo Iokibe |
| 2nd Author's Affiliation | Okayama University(Okayama Univ.) |
| 3rd Author's Name | Yoshitaka Toyota |
| 3rd Author's Affiliation | Okayama University(Okayama Univ.) |
| Date | 2022-07-19 |
| Paper # | ISEC2022-10,SITE2022-14,BioX2022-35,HWS2022-10,ICSS2022-18,EMM2022-18 |
| Volume (vol) | vol.122 |
| Number (no) | ISEC-122,SITE-123,BioX-124,HWS-125,ICSS-126,EMM-127 |
| Page | pp.pp.18-22(ISEC), pp.18-22(SITE), pp.18-22(BioX), pp.18-22(HWS), pp.18-22(ICSS), pp.18-22(EMM), |
| #Pages | 5 |
| Date of Issue | 2022-07-12 (ISEC, SITE, BioX, HWS, ICSS, EMM) |