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2015 | OriginalPaper | Buchkapitel

Robust Profiling for DPA-Style Attacks

verfasst von : Carolyn Whitnall, Elisabeth Oswald

Erschienen in: Cryptographic Hardware and Embedded Systems -- CHES 2015

Verlag: Springer Berlin Heidelberg

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Abstract

Profiled side-channel attacks are understood to be powerful when applicable: in the best case when an adversary can comprehensively characterise the leakage, the resulting model leads to attacks requiring a minimal number of leakage traces for success. Such ‘complete’ leakage models are designed to capture the scale, location and shape of the profiling traces, so that any deviation between these and the attack traces potentially produces a mismatch which renders the model unfit for purpose. This severely limits the applicability of profiled attacks in practice and so poses an interesting research challenge: how can we design profiled distinguishers that can tolerate (some) differences between profiling and attack traces?

This submission is the first to tackle the problem head on: we propose distinguishers (utilising unsupervised machine learning methods, but also a ‘down-to-earth’ method combining mean traces and PCA) and evaluate their behaviour across an extensive set of distortions that we apply to representative trace data. Our results show that the profiled distinguishers are effective and robust to distortions to a surprising extent.

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Nächstes Kapitel Less is More

Note that, in the case that the target function is injective (e.g. the AES S-box), the ‘trivial’ nominal power model which treats each intermediate value as a distinct class invariably fails to distinguish between key hypotheses in any partition-based DPA (see [20, 25]). Therefore, a meaningful non-trivial grouping is required.

The variances in Eq. (1) are squared as per [4]; this makes the univariate VR slightly different to the original definition given in [20], but (importantly) consistent with the multivariate version.

Defined as the height of the individual link minus the mean height of all links at the same hierarchical level, all divided by the standard deviation of all the heights on that level.

In particular, in the notation of Sect. 2.1, the extent to which \(\{z' | M(z') = M(z)\} \approx \{z' | L(z') = L(z)\} \forall z \in \mathcal {Z}\)—see [25].

Note that this process involves centering around the global mean, thereby avoiding the DC offset problems highlighted by [7].

All our data stems from real devices: one implementation of AES on an ARM7 processor, and one implementation of AES in dedicated hardware (an ASIC custom-built for the TAMPRES project [1, 13]) using a 32-bit architecture but with a serial S-box look-up. In order to create data sets with different characteristics we did however not change the measurement setups as this would have been a too cumbersome process. Instead we manipulated the original data sets and hence, strictly speaking, the distorted data was created by simulations.

The different sample sizes reflect the fact that we sourced independently-generated datasets for our experiments rather than relying on acquisition set-ups over which we had full control.

Identified by using the (point-wise) conditional means as optimal power models in (point-wise) correlation DPA, and selecting the one giving the strongest margin of success.

Computed as the mean of the preceding and following measurements.

TAMPRES: Tamper Resistant Sensor Nodes. http://www.tampres.eu, 2009–2013

Archambeau, C., Peeters, E., Standaert, F.-X., Quisquater, J.-J.: Template attacks in principal subspaces. In: Goubin, L., Matsui, M. (eds.) CHES 2006. LNCS, vol. 4249, pp. 1–14. Springer, Heidelberg (2006) CrossRef

Baddam, K., Zwolinski, M.: Evaluation of dynamic voltage and frequency scaling as a differential power analysis countermeasure. In: 20th International Conference on VLSI Design, pp. 854–862. IEEE Computer Society (2007)

Batina, L., Gierlichs, B., Lemke-Rust, K.: Differential cluster analysis. In: Clavier, C., Gaj, K. (eds.) CHES 2009. LNCS, vol. 5747, pp. 112–127. Springer, Heidelberg (2009) CrossRef

Batina, L., Hogenboom, J., van Woudenberg, J.G.J.: Getting more from PCA: first results of using principal component analysis for extensive power analysis. In: Dunkelman, O. (ed.) CT-RSA 2012. LNCS, vol. 7178, pp. 383–397. Springer, Heidelberg (2012) CrossRef

Chari, S., Rao, J., Rohatgi, P.: Template attacks. In: Kaliski, B., Koç, Ç., Paar, C. (eds.) CHES 2002. LNCS, vol. 2523, pp. 51–62. Springer, Heidelberg (2003)CrossRef

Choudary, O., Kuhn, M.G.: Template attacks on different devices. In: Prouff, E. (ed.) COSADE 2014. LNCS, vol. 8622, pp. 179–198. Springer, Heidelberg (2014)

Elaabid, M., Guilley, S.: Portability of templates. J. Crypt. Eng. 2(1), 63–74 (2012)CrossRef

Ernst, D., Kim, N.S., Das, S., Pant, S., Rao, R., Pham, T., Ziesler, C., Blaauw, D., Austin, T., Flautner, K., Mudge, T.: Razor: a low-power pipeline based on circuit-level timing speculation. In: Proceedings of the 36th Annual IEEE/ACM International Symposium on Microarchitecture, pp. 7–18 (2003)

10.

Gierlichs, B., Batina, L., Tuyls, P., Preneel, B.: Mutual information analysis. In: Oswald, E., Rohatgi, P. (eds.) CHES 2008. LNCS, vol. 5154, pp. 426–442. Springer, Heidelberg (2008) CrossRef

11.

Heuser, A., Zohner, M.: Intelligent machine homicide. In: Schindler, W., Huss, S.A. (eds.) COSADE 2012. LNCS, vol. 7275, pp. 249–264. Springer, Heidelberg (2012) CrossRef

12.

Hospodar, G., Gierlichs, B., Mulder, E.D., Verbauwhede, I., Vandewalle, J.: Machine learning in side-channel analysis: a first study. J. Crypt. Eng. 1(4), 293–302 (2011)CrossRef

13.

Korak, T., Plos, T., Hutter, M.: Attacking an AES-enabled NFC tag: implications from design to a real-world scenario. In: Schindler, W., Huss, S.A. (eds.) COSADE 2012. LNCS, vol. 7275, pp. 17–32. Springer, Heidelberg (2012) CrossRef

14.

Lerman, L., Bontempi, G., Markowitch, O.: Power analysis attack: an approach based on machine learning. IJACT 3(2), 97–115 (2014)MathSciNetCrossRef

15.

Mangard, S., Oswald, E., Popp, T.: Power Analysis Attacks: Revealing the Secrets of Smart Cards. Springer, New York (2007)

16.

Mangard, S., Oswald, E., Standaert, F.-X.: One for all - all for one: unifying standard DPA attacks. IET Inf. Secur. 5(2), 100–110 (2011)CrossRef

17.

Rechberger, C., Oswald, E.: Practical Template Attacks. In: Lim, C.H., Yung, M. (eds.) WISA 2004. LNCS, vol. 3325, pp. 440–456. Springer, Heidelberg (2005) CrossRef

18.

Renauld, M., Standaert, F.-X., Veyrat-Charvillon, N., Kamel, D., Flandre, D.: A formal study of power variability issues and side-channel attacks for nanoscale devices. In: Paterson, K.G. (ed.) EUROCRYPT 2011. LNCS, vol. 6632, pp. 109–128. Springer, Heidelberg (2011) CrossRef

19.

Schindler, W., Lemke, K., Paar, C.: A stochastic model for differential side channel cryptanalysis. In: Rao, J.R., Sunar, B. (eds.) CHES 2005. LNCS, vol. 3659, pp. 30–46. Springer, Heidelberg (2005) CrossRef

20.

Standaert, F.-X., Gierlichs, B., Verbauwhede, I.: Partition vs. comparison side-channel distinguishers: an empirical evaluation of statistical tests for univariate side-channel attacks against two unprotected CMOS devices. In: Lee, P.J., Cheon, J.H. (eds.) ICISC 2008. LNCS, vol. 5461, pp. 253–267. Springer, Heidelberg (2009) CrossRef

21.

Standaert, F.-X., Malkin, T.G., Yung, M.: A unified framework for the analysis of side-channel key recovery attacks. In: Joux, A. (ed.) EUROCRYPT 2009. LNCS, vol. 5479, pp. 443–461. Springer, Heidelberg (2009) CrossRef

22.

van Woudenberg, J.G.J., Witteman, M.F., Bakker, B.: Improving differential power analysis by elastic alignment. In: Kiayias, A. (ed.) CT-RSA 2011. LNCS, vol. 6558, pp. 104–119. Springer, Heidelberg (2011) CrossRef

23.

Veyrat-Charvillon, N., Standaert, F.-X.: Mutual information analysis: how, when and why? In: Clavier, C., Gaj, K. (eds.) CHES 2009. LNCS, vol. 5747, pp. 429–443. Springer, Heidelberg (2009) CrossRef

24.

Whitnall, C., Oswald, E.: A fair evaluation framework for comparing side-channel distinguishers. J. Crypt. Eng. 1(2), 145–160 (2011)CrossRef

25.

Whitnall, C., Oswald, E., Standaert, F.-X.: The myth of generic DPA\(\ldots \)and the magic of learning. In: Benaloh, J. (ed.) CT-RSA 2014. LNCS, vol. 8366, pp. 183–205. Springer, Heidelberg (2014) CrossRef

26.

Wolpert, D.H., Macready, W.G.: No free lunch theorems for optimization. IEEE Trans. Evol. Comput. 1(1), 67–82 (1997)MATHCrossRef

27.

Yang, S., Wolf, W., Vijaykrishnan, N., Serpanos, D., Xie, Y.: Power attack resistant cryptosystem design: a dynamic voltage and frequency switching approach. In: Proceedings of Design, Automation and Test in Europe, vol. 3, pp. 64–69, March 2005. doi:10.1109/DATE.2005.241, ISSN:1530-1591

Titel: Robust Profiling for DPA-Style Attacks
verfasst von: Carolyn Whitnall
Elisabeth Oswald
Verlag: Springer Berlin Heidelberg
Buch: Cryptographic Hardware and Embedded Systems -- CHES 2015
Print ISBN: 978-3-662-48323-7

Electronic ISBN: 978-3-662-48324-4

Copyright-Jahr: 2015
DOI: https://doi.org/10.1007/978-3-662-48324-4_1

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