TY - JOUR
T1 - Correlation leakage analysis based on masking schemes
AU - Zhang, Jiawei
AU - Niu, Yongchuan
AU - Wang, An
N1 - Publisher Copyright:
© 2021, Science China Press and Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2022/2
Y1 - 2022/2
N2 - In this study, a novel power leakage model called correlation leakage model was presented, which utilizes the correlation coefficient between the leakages of intermediate variables to represent the power leakage. By employing mathematical reasoning, the exact formula of this model was given, in which the relationship between the correlation leakage and the sensitive intermediate variable was clearly observed. Based on this leakage model, we proposed a new type of second-order attack, CLA. This CLA can break the first-order masked implementations of cryptographic algorithms; it is applicable to all the cases that can be attacked by second-order analysis. Both the simulated and practical experiments verified the effectiveness and good performance of the CLA attacks.
AB - In this study, a novel power leakage model called correlation leakage model was presented, which utilizes the correlation coefficient between the leakages of intermediate variables to represent the power leakage. By employing mathematical reasoning, the exact formula of this model was given, in which the relationship between the correlation leakage and the sensitive intermediate variable was clearly observed. Based on this leakage model, we proposed a new type of second-order attack, CLA. This CLA can break the first-order masked implementations of cryptographic algorithms; it is applicable to all the cases that can be attacked by second-order analysis. Both the simulated and practical experiments verified the effectiveness and good performance of the CLA attacks.
UR - http://www.scopus.com/inward/record.url?scp=85106263856&partnerID=8YFLogxK
U2 - 10.1007/s11432-019-2719-2
DO - 10.1007/s11432-019-2719-2
M3 - Letter
AN - SCOPUS:85106263856
SN - 1674-733X
VL - 65
JO - Science China Information Sciences
JF - Science China Information Sciences
IS - 2
M1 - 129101
ER -