TY - GEN
T1 - An Information-Theoretic Model for Side-Channel Attacks in Embedded Hardware
AU - De Chérisey, Éloi
AU - Guilley, Sylvain
AU - Rioul, Olivier
AU - Piantanida, Pablo
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/7/1
Y1 - 2019/7/1
N2 - Using information-theoretic tools, this paper establishes a mathematical link between the probability of success of a side-channel attack and the minimum number of queries to reach a given success rate, valid for any possible distinguishing rule and with the best possible knowledge on the attacker's side. This link is a lower bound on the number of queries, which depends on the mutual information between the traces and the secret key. This leads us to derive upper bounds on the mutual information that are as tight as possible and can be easily calculated. It turns out that, in the case of additive white Gaussian noise, the bound on the probability of success of any attack is directly related to the signal-to-noise ratio (SNR). This leads to easy computations and predictions of the success rate for any leakage model.
AB - Using information-theoretic tools, this paper establishes a mathematical link between the probability of success of a side-channel attack and the minimum number of queries to reach a given success rate, valid for any possible distinguishing rule and with the best possible knowledge on the attacker's side. This link is a lower bound on the number of queries, which depends on the mutual information between the traces and the secret key. This leads us to derive upper bounds on the mutual information that are as tight as possible and can be easily calculated. It turns out that, in the case of additive white Gaussian noise, the bound on the probability of success of any attack is directly related to the signal-to-noise ratio (SNR). This leads to easy computations and predictions of the success rate for any leakage model.
U2 - 10.1109/ISIT.2019.8849763
DO - 10.1109/ISIT.2019.8849763
M3 - Conference contribution
AN - SCOPUS:85070459726
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 310
EP - 314
BT - 2019 IEEE International Symposium on Information Theory, ISIT 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Symposium on Information Theory, ISIT 2019
Y2 - 7 July 2019 through 12 July 2019
ER -