Download Cryptographic hardware and embedded systems-- CHES 2005: 7th by Josyula R. Rao, Berk Sunar PDF

By Josyula R. Rao, Berk Sunar

ISBN-10: 3540284745

ISBN-13: 9783540284741

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

The 32 revised complete papers awarded have been conscientiously reviewed and chosen from 108 submissions. The papers are equipped in topical sections on part channels, mathematics for cryptanalysis, low assets, designated objective 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

Example text

2, yielding a density fb;0 : IRm → IR. In Definition 2 the function φ is simply replaced by φb : {0, 1}p ×{0, 1}v ×{0, 1}s → V . Of course, in the key extraction phase knowledge of the masking random numbers y1 , . . , yN3 cannot be assumed. The designer, resp. the adversary, hence decides for the subkey k that maximizes the product N3 Prob(yj = y )f0 it (xj , y, k ◦ ) − h∗b,t (xj , y , k) (21) αb (x1 , . . , xN3 ; k) := j=1 y ∈{0,1}v among all k ∈ {0, 1}s (cf. (16)). The mixture of densities on the right-hand side expresses the fact that the true density also depends on the unknown random numbers y1 , .

Itm (X, k)−hm (X, k)) 2 (3) is attained at (h1 , . . , hm ) = (ht1 , . . , htm ). (iii) For each x ∈ {0, 1}p we have ht (x, k) = EX=x (It (X, k)). Proof. Clearly, It (X, k) − h (X, k) = ∆h(X, k) + Rt with ∆h = ht − h . Squaring both sides and evaluating their expectations yields 2 E (It (X, k) − h (X, k)) = E ∆h(X, k)2 + E Rt2 ≥ E Rt2 since E(Rt ) = 0, and since ∆ht (X, k) and Rt are independent by assumption. If Prob(X = x) > 0 for all x ∈ {0, 1}p then E(∆h(X, k)2 ) > 0 for h = ht which completes the proof of (i).

The computations of the covariance matrix C = (cij )1≤i,j≤m for sets of m points were done with N2 = 1000 and N2 = 5000. For the case N2 = 5000 we combined three measurement series, except for the one that is used for the key extraction later on. 42 W. Schindler, K. Lemke, and C. 3 The Key Extraction Phase: Minimum Principle For the minimum principle given by equations (18) and (19) the estimation of h∗t is needed, but not the estimation of the noise contribution. If not stated otherwise, only one measurement series served for the profiling step (N1 = 2000) and the key extraction is applied at another series.

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