CRYPTO '99 Proceedings of the 19th Annual International Cryptology Conference on Advances in Cryptology
Timing Attacks on Implementations of Diffie-Hellman, RSA, DSS, and Other Systems
CRYPTO '96 Proceedings of the 16th Annual International Cryptology Conference on Advances in Cryptology
Power Analysis Attacks of Modular Exponentiation in Smartcards
CHES '99 Proceedings of the First International Workshop on Cryptographic Hardware and Embedded Systems
Investigations of power analysis attacks on smartcards
WOST'99 Proceedings of the USENIX Workshop on Smartcard Technology on USENIX Workshop on Smartcard Technology
CHES '08 Proceeding sof the 10th international workshop on Cryptographic Hardware and Embedded Systems
Comparative Evaluation of Rank Correlation Based DPA on an AES Prototype Chip
ISC '08 Proceedings of the 11th international conference on Information Security
Information Security and Cryptology --- ICISC 2008
Theoretical and Practical Aspects of Mutual Information Based Side Channel Analysis
ACNS '09 Proceedings of the 7th International Conference on Applied Cryptography and Network Security
CHES '09 Proceedings of the 11th International Workshop on Cryptographic Hardware and Embedded Systems
Mutual Information Analysis: How, When and Why?
CHES '09 Proceedings of the 11th International Workshop on Cryptographic Hardware and Embedded Systems
A Comparative Study of Mutual Information Analysis under a Gaussian Assumption
Information Security Applications
Mutual information analysis under the view of higher-order statistics
IWSEC'10 Proceedings of the 5th international conference on Advances in information and computer security
Dual-rail random switching logic: a countermeasure to reduce side channel leakage
CHES'06 Proceedings of the 8th international conference on Cryptographic Hardware and Embedded Systems
The “backend duplication” method
CHES'05 Proceedings of the 7th international conference on Cryptographic hardware and embedded systems
Efficient entropy estimation for mutual information analysis using b-splines
WISTP'10 Proceedings of the 4th IFIP WG 11.2 international conference on Information Security Theory and Practices: security and Privacy of Pervasive Systems and Smart Devices
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Mutual Information Analysis (MIA) is a side-channel attack introduced recently. It uses mutual information, a known information theory notion, as a side-channel distinguisher. Most previous attacks use parametric statistical tests and the attacker assumes that the distribution family of the targeted side-channel leakage information is known. On the contrary, MIA is a generic attack that assumes the least possible about the underlying hardware specifications. For example, an attacker should not have to guess a linear power model and combine it with a parametric test, like the Pearson correlation factor. Mutual information is considered to be very powerful however it is difficult to estimate. Results of MIA can therefore be unreliable and even bias. Several efficient parametric estimators of mutual information are proposed in the literature. They are obviously very efficient when the distribution is correctly guessed. However, we loose the original goal of MIA which is to assume the least possible about the attacked devices. Hence, nonparametric estimators of mutual information should be considered in more details and, in particular, their efficiency in the side-channel context.We review some of the most powerful nonparametric methods and compare their performance with state-of-the-art side-channel distinguishers.