TY - GEN
T1 - On Conditional Alpha-Information and its Application to Side-Channel Analysis
AU - Liu, Yi
AU - Cheng, Wei
AU - Guilley, Sylvain
AU - Rioul, Olivier
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/1/1
Y1 - 2021/1/1
N2 - A conditional version of Sibson's α-information is defined using a simple closed-form 'log-expectation' expression, which satisfies important properties such as consistency, uniform expansion, and data processing inequalities. This definition is compared to previous ones, which in contrast do not satisfy all of these properties. Based on our proposal and on a generalized Fano inequality, we extend the case α=1 of previous works to obtain sharp universal upper bounds for the probability of success of any type side-channel attack, particularly when α=2.
AB - A conditional version of Sibson's α-information is defined using a simple closed-form 'log-expectation' expression, which satisfies important properties such as consistency, uniform expansion, and data processing inequalities. This definition is compared to previous ones, which in contrast do not satisfy all of these properties. Based on our proposal and on a generalized Fano inequality, we extend the case α=1 of previous works to obtain sharp universal upper bounds for the probability of success of any type side-channel attack, particularly when α=2.
U2 - 10.1109/ITW48936.2021.9611409
DO - 10.1109/ITW48936.2021.9611409
M3 - Conference contribution
AN - SCOPUS:85123417771
T3 - 2021 IEEE Information Theory Workshop, ITW 2021 - Proceedings
BT - 2021 IEEE Information Theory Workshop, ITW 2021 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE Information Theory Workshop, ITW 2021
Y2 - 17 October 2021 through 21 October 2021
ER -