Cryptographic Hardware and Embedded Systems – CHES 2005: 7th by William Dupuy, Sébastien Kunz-Jacques (auth.), Josyula R.

By William Dupuy, Sébastien Kunz-Jacques (auth.), Josyula R. Rao, Berk Sunar (eds.)

This e-book constitutes the refereed lawsuits of the seventh overseas Workshop on Cryptographic and Embedded structures, CHES 2005, held in Edinburgh, united kingdom in August/September 2005.

The 32 revised complete papers awarded have been rigorously reviewed and chosen from 108 submissions. The papers are prepared in topical sections on aspect channels, mathematics for cryptanalysis, low assets, specified function undefined, assaults and countermeasures, mathematics for cryptography, depended on computing, and effective hardware.

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Extra info for Cryptographic Hardware and Embedded Systems – CHES 2005: 7th International Workshop, Edinburgh, UK, August 29 – September 1, 2005. Proceedings

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The designer) measures physical observables at time t in order to guess a subkey k ∈ {0, 1}s . The letter x ∈ {0, 1}p denotes a known part of the plaintext or the ciphertext, respectively. We view a measurement at time t as a realization of the random variable It (x, k) = ht (x, k) + Rt . (1) The first summand ht (x, k) quantifies the deterministic part of the measurement as far it depends on x and k. The term Rt denotes a random variable that does not depend on x and k. Without loss of generality we may assume that E(Rt ) = 0 since otherwise we could replace ht (x, k) and Rt by ht (x, k) + E(Rt ) and Rt − E(Rt ), respectively.

R. Rao, and P. Rohatgi. Template Attacks. S. Kaliski, C ¸ . K. Ko¸c, and C. Paar, editors, Cryptographic Hardware and Embedded Systems — CHES 2002, volume LNCS 2523, pages 13–28. Springer-Verlag, 2002. L. Goubin and J. Patarin. DES and Differential Power Analysis: the Duplication Method. In C ¸ . K. Ko¸c and C. Paar, editors, Cryptographic Hardware and Embedded Systems — CHES 1999, volume LNCS 1717, pages 158–172. Springer-Verlag, 1999. P. Kocher, J. Jaffe, and B. Jun. Differential Power Analysis: Leaking Secrets.

Detection, Estimation, and Modulation Theory, Part I. John Wiley & Sons. New York, 1968. Sensitivity of Probability of Success on Bias Let H0 and H1 denote two hypotheses corresponding to the target bit being equal to 0 and 1 respectively. Let pH0 and pH1 model the distribution of captured sidechannel emanations under H0 and H1 , respectively. Assume that pH0 and pH1 are multivariate Gaussian distributions [CRR02, ARR03] with means m0 and m1 , and variances Σ0 and Σ1 , respectively. Let α be the mixing factor, that is, the samples collected for H0 are distributed according to the Gaussian mixture distribution (1 − α)pH0 + αpH1 , and the samples collected for H1 are distributed according to the Gaussian mixture distribution (1 − α)pH1 + αpH0 .

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