Download Cryptographic Hardware and Embedded Systems -- CHES 2015: by Tim Güneysu, Helena Handschuh PDF

By Tim Güneysu, Helena Handschuh

ISBN-10: 3662483238

ISBN-13: 9783662483237

ISBN-10: 3662483246

ISBN-13: 9783662483244

This e-book constitutes the refereed complaints of the seventeenth overseas Workshop on Cryptographic and Embedded platforms, CHES 2015, held in Saint Malo, France, in September 2015. The 34 complete papers integrated during this quantity have been conscientiously reviewed and chosen from 128 submissions. they're equipped within the following topical sections: processing concepts in side-channel research; cryptographic implementations; homomorphic encryption in undefined; side-channel assaults on public key cryptography; cipher layout and cryptanalysis; precise random quantity turbines and entropy estimations; side-channel research and fault injection assaults; higher-order side-channel assaults; bodily unclonable features and trojans; side-channel assaults in perform; and lattice-based implementations.

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Read or Download Cryptographic Hardware and Embedded Systems -- CHES 2015: 17th International Workshop, Saint-Malo, France, September 13-16, 2015, Proceedings PDF

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Extra info for Cryptographic Hardware and Embedded Systems -- CHES 2015: 17th International Workshop, Saint-Malo, France, September 13-16, 2015, Proceedings

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Outcomes when the attack acquisition is measured with less precision than the profiling sample. (100 repetitions; window width of 20 for the software implementation, 10 for the hardware). Table 5. Outcomes when noise in the attack sample increases relative to the profiling sample. (100 repetitions; window width of 20 for the software implementation, 10 for the hardware) Noise has the expected effect on all tested strategies (Table 5): they remain effective, but the number of traces required for equivalent success scales proportionally.

4249, pp. 15–29. Springer, Heidelberg (2006) 15. : Security evaluation of WDDL and SecLib countermeasures against power attacks. IEEE Trans. Comput. 57(11), 1482–1497 (2008) 16. : Multivariate leakage model for improving nonprofiling DPA on noisy power traces. , Yung, M. ) Inscrypt 2013. LNCS, vol. 8567, pp. 325–342. Springer, Heidelberg (2014) 17. : SNR to success rate: reaching the limit of nonprofiling DPA. Cryptology ePrint Archive, Report 2013/865 (2013). http://eprint. org/2013/865/ 18. : On the optimal pre-processing for non-profiling differential power analysis.

24) into Eq. (25), one obtains ˆ= Σ 1 Q−1 X D,Q − Q T Q D,Q (Y ) Y X T Y Q (Y Q ) T Q,Q − = D,Q 1 Q−1 X I = D,Q 1 Q−1 X I Q,Q − = 1 Q−1 (Y Q ) Y Q Y Q (Y Q )T X X D,Q (X Y Q (Y D,Q T ) − Q )T Q T Q D,Q (Y ) Y X T Y Q (Y Q ) T 2 T (X D,Q ) T (Y Q ) Y Q − D,Q (26) T (X D,Q ) T (27) T X D,Q (Y Q ) Y Q (X D,Q ) T Y Q (Y Q ) . 38 N. Bruneau et al. In Eq. 26, I Q,Q denotes the Q × Q identity matrix, and we use in Eq. , equal to its square. Remark 3. We have the following remarkable identity: X D,Q (X D,Q ) T T = α ˆ D (ˆ αD ) Y Q (Y Q ) T ˆ + (Q − 1)Σ.

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