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Signal Processing for Cryptography and Security Applications

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Handbook of Signal Processing Systems

Abstract

Embedded devices need both an efficient and a secure implementation of cryptographic primitives. In this chapter we show how common signal processing techniques are used in order to achieve both objectives. Regarding efficiency, we first give an example of accelerating hash function primitives using the retiming transformation, a well known technique to improve signal processing applications. Second, we outline the use of some special features of DSP processors and techniques earlier developed for efficient implementations of public-key algorithms. Regarding the secure implementations we outline the concept of side channel attacks and show how a multitude of techniques for preprocessing the data are used in such scenarios. Finally, we talk about fuzzy secrets and point out the use of DSP techniques for an important role in cryptography—a key derivation.

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Notes

  1. 1.

    SHA-3 competition, organized by the National Institute of Standards and Technology (NIST), is a worldwide competition for the development of a new hash standard.

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Acknowledgements

This work is supported in part by the IAP Programme P6/26 BCRYPT of the Belgian State, by the European Commission under contract numbers ICT-2007-216676 ECRYPT NoE phase II and ICT-2007-238811 UNIQUE, and by the Research Council K.U.Leuven: GOA 11/007 TENSE. Benedikt Gierlichs is a Postdoctoral Fellow of the Fund for Scientific Research - Flanders (FWO).

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Authors and Affiliations

  1. NXP Semiconductors, Leuven, Belgium

    Miroslav Knežević

  2. KU Leuven, ESAT/COSIC and IBBT, Leuven-Heverlee, Belgium

    Lejla Batina, Junfeng Fan, Benedikt Gierlichs, Roel Maes & Ingrid Verbauwhede

  3. Radboud University Nijmegen, ICIS/Digital Security Group, Nijmegen, The Netherlands

    Lejla Batina

  4. Cryptography Research, Inc., a division of Rambus, San Francisco, California, USA

    Elke De Mulder

  5. Samsung Electronics, Suwon, South Korea

    Yong Ki Lee

  6. Electrical Engineering, University of California, Los Angeles, USA

    Ingrid Verbauwhede

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  1. Miroslav Knežević
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Correspondence to Miroslav Knežević .

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  1. , Dept. of Electrical and, University of Maryland, A. V. Williams Bldg. 2311, College Park, 20742, Maryland, USA

    Shuvra S. Bhattacharyya

  2. Leiden Inst. Advanced Computer Science, Leiden Embedded Research Center, Leiden University, Niels Bohrweg 1, Leiden, 2333 CA, Netherlands

    Ed F. Deprettere

  3. Software for Systems on Silicon, RWTH Aachen University, Templergraben 55, Aachen, 52056, Germany

    Rainer Leupers

  4. , Department of Pervasive Computing, Tampere University of Technology, Korkeakoulunkatu 1, Tampere, 33720, Finland

    Jarmo Takala

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Knežević, M. et al. (2013). Signal Processing for Cryptography and Security Applications. In: Bhattacharyya, S., Deprettere, E., Leupers, R., Takala, J. (eds) Handbook of Signal Processing Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6859-2_7

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