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

By Tim Güneysu, Helena Handschuh

ISBN-10: 3662483238

ISBN-13: 9783662483237

ISBN-10: 3662483246

ISBN-13: 9783662483244

This e-book constitutes the refereed court cases of the seventeenth foreign 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 rigorously reviewed and chosen from 128 submissions. they're equipped within the following topical sections: processing recommendations in side-channel research; cryptographic implementations; homomorphic encryption in undefined; side-channel assaults on public key cryptography; cipher layout and cryptanalysis; actual random quantity turbines and entropy estimations; side-channel research and fault injection assaults; higher-order side-channel assaults; bodily unclonable services and trojans; side-channel assaults in perform; and lattice-based implementations.

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

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Corollary 4. After optimal dimensionality reduction, the signal-noise-ratio is given by 1 T = (αD ) Σ −1 αD . σ ˜2 Proof. This is in line with Eq. (10). The random leakage X D,Q is protected onto ˜ q = Yq (k) + N ˜ (q = 1, . . , Q) where N ˜ is an additive white V D to yield X T Gaussian noise (AWGN) distributed as N (0, ((αD ) Σ −1 αD )−1 ). Recall that the variance of the leakage model has been assumed normalized = 1. Therefore, the signal-to-noise ratio equals Var(Yq (k)) 1 T = (αD ) Σ −1 αD .

We show that optimal attacks remain optimal after a first pass of preprocessing, which takes the form of a linear projection of the samples. We then investigate the state-of-the-art dimensionality reduction techniques, and find that asymptotically, the optimal strategy coincides with the linear discriminant analysis. 1 Introduction Side-channel analysis exploits leakages from devices. Embedded systems are targets of choice for such attacks. Typical leakages are captured by instruments such as oscilloscopes, which sample power or electromagnetic traces.

8419, pp. 253–270. Springer, Heidelberg (2014) 8. : Practical improvements of side-channel attacks on AES: feedback from the 2nd DPA contest. J. Cryptogr. Eng. 4, 1–16 (2014) 9. : Elements of Information Theory, 2nd edn. WileyInterscience, New York (2006). ISBN-10: ISBN-10: 0471241954, ISBN-13: 978– 0471241959 10. : High-order timing attacks. In: Proceedings of the First Workshop on Cryptography and Security in Computing Systems, CS2 2014, pp. 7–12. ACM, New York (2014) 11. : Wavelet transform based pre-processing for side channel analysis.

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Cryptographic Hardware and Embedded Systems -- CHES 2015: 17th International Workshop, Saint-Malo, France, September 13-16, 2015, Proceedings by Tim Güneysu, Helena Handschuh

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