Generic Side-Channel Distinguishers: Improvements and Limitations

  • Nicolas Veyrat-Charvillon
  • François-Xavier Standaert
Conference paper

DOI: 10.1007/978-3-642-22792-9_20

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6841)
Cite this paper as:
Veyrat-Charvillon N., Standaert FX. (2011) Generic Side-Channel Distinguishers: Improvements and Limitations. In: Rogaway P. (eds) Advances in Cryptology – CRYPTO 2011. CRYPTO 2011. Lecture Notes in Computer Science, vol 6841. Springer, Berlin, Heidelberg


The goal of generic side-channel distinguishers is to allow key recoveries against any type of implementation, under minimum assumptions on the underlying hardware. Such distinguishers are particularly interesting in view of recent technological advances. Indeed, the traditional leakage models used in side-channel attacks, based on the Hamming weight or distance of the data contained in an implementation, are progressively invalidated by the increased variability in nanoscale electronic devices. In this paper, we consequently provide two contributions related to the application of side-channel analysis against emerging cryptographic implementations. First, we describe a new statistical test that is aimed to be generic and efficient when exploiting high-dimensional leakages. The proposed distinguisher is fully non-parametric. It formulates the leakage distributions using a copula and discriminates keys based on the detection of an “outlier behavior”. Next, we provide experiments putting forward the limitations of generic side-channel analysis in advanced scenarios, where leaking devices are protected with countermeasures. Our results exhibit that all non-profiled attacks published so far can sometimes give a false sense of security, due to incorrect leakage models. That is, there exists settings in which an implementation is secure against such non-profiled attacks and can be defeated with profiling. This confirms that the evaluations of cryptographic implementations should always consider profiling, as a worst case scenario.

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Copyright information

© International Association for Cryptologic Research 2011

Authors and Affiliations

  • Nicolas Veyrat-Charvillon
    • 1
  • François-Xavier Standaert
    • 1
  1. 1.UCL Crypto Group, Université catholique de LouvainLouvain-la-NeuveBelgium

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