By Lejla Batina, Matthew Robshaw

This e-book constitutes the complaints of the sixteenth overseas Workshop on Cryptographic and Embedded structures, CHES 2014, held in Busan, South Korea, in September 2014. The 33 complete papers integrated during this quantity have been rigorously reviewed and chosen from 127 submissions. they're prepared in topical sections named: side-channel assaults; new assaults and structures; countermeasures; set of rules particular SCA; ECC implementations; implementations; implementations of symmetric cryptosystems; PUFs; and RNGs and SCA concerns in hardware.

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Additional info for Cryptographic Hardware and Embedded Systems – CHES 2014: 16th International Workshop, Busan, South Korea, September 23-26, 2014. Proceedings

Example text

Each record in the x4 registry contains all the information required to compute the 4 output bytes of MixColumns. Since we use a single record to compute a tuple of 4 output bytes - we consider this computation as a single-input computation. As before let {αin } denote the conflated probabilities of records in x4 registry. Since MixColumns has 4 output bytes - we have four leaks to conflate with, representing the separate side channel information on the four output bytes: {αout,0 }, {αout,1 }, {αout,2 }, {αout,3 }.

We then have fj : s → mj,s and Nj ∼ N (0, Σ j ), where 0 denotes the null vector. As a final assumption, we consider that for any fixed values of the shares, the leakage components are independent. That is, for every (s0 , s1 , . . , sd ) ∈ S d+1 , the random variables (Lj | Sj = sj ) are mutually independent. Under the Gaussian noise assumption, this simply means that the noises Nj are mutually independent, and that is why we shall refer to this assumption as the independent noises assumption. Remark 1.

393–410. Springer, Heidelberg (2010) 22. : Algebraic side-channel attacks on the AES: Why time also matters in DPA. , Gaj, K. ) CHES 2009. LNCS, vol. 5747, pp. 97–111. Springer, Heidelberg (2009) 23. : Cryptography and Network Security ch. 5, 6th edn. Pearson (2014) 24. : Profiling attack using multivariate regression analysis. IEICE Electronics Express 7(15), 1139–1144 (2010) 25. : An optimal key enumeration algorithm and its application to side-channel attacks. , Wu, H. ) SAC 2012. LNCS, vol. 7707, pp.

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