Differential Power Analysis Model and Some Results

  • Sylvain Guilley
  • Philippe Hoogvorst
  • Renaud Pacalet
Conference paper

DOI: 10.1007/1-4020-8147-2_9

Part of the IFIP International Federation for Information Processing book series (IFIPAICT, volume 153)
Cite this paper as:
Guilley S., Hoogvorst P., Pacalet R. (2004) Differential Power Analysis Model and Some Results. In: Quisquater JJ., Paradinas P., Deswarte Y., El Kalam A.A. (eds) Smart Card Research and Advanced Applications VI. IFIP International Federation for Information Processing, vol 153. Springer, Boston, MA


CMOS gates consume different amounts of power whether their output has a falling or a rising edge. Therefore the overall power consumption of a CMOS circuit leaks information about the activity of every single gate. This explains why, using differential power analysis (DPA), one can infer the value of specific nodes within a chip by monitoring its global power consumption only.

We model the information leakage in the framework used by conventional cryptanalysis. The information an attacker can gain is derived as the autocorrelation of the Hamming weight of the guessed value for the key. This model is validated by an exhaustive electrical simulation.

Our model proves that the DPA signal-to-noise ratio increases when the resistance of the substitution box against linear cryptanalysis increases.

This result shows that the better shielded against linear cryptanalysis a block cipher is, the more vulnerable it is to side-channel attacks such as DPA.


Differential power analysis (DPA) DPA model DPA electrical simulation substitution box (S-Box) DPA signal-to-noise ratio cryptanalysis 

Copyright information

© Springer Science + Business Media, Inc. 2004

Authors and Affiliations

  • Sylvain Guilley
    • 1
  • Philippe Hoogvorst
    • 1
  • Renaud Pacalet
    • 2
  1. 1.Département communication et électroniqueGET/Télécom Paris, CNRS LTCIParis Cedex 13France
  2. 2.Département communication et électronique, Institut EurecomGET/Télécom Paris, CNRS LTCISophia-Antipolis CedexFrance

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