Profiling Power Analysis Attack Based on Multi-layer Perceptron Network

  • Zdenek MartinasekEmail author
  • Lukas Malina
  • Krisztina Trasy
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 343)


In 2013, an innovative method of power analysis was presented in Martinasek and Zeman (Radioengineering 22(2), IF 0.687, 2013) and Martinasek et al. (Smart Card Research and Advanced Applications. Lecture Notes in Computer Science. Springer International Publishing, New York, 2014). Realized experiments proved that the proposed method based on Multi-Layer Perceptron (MLP) can provide almost 100 % success rate. This description based on the first-order success rate is not appropriate enough. Moreover, the above mentioned works contain other lacks: the MLP has not been compared with other well-known attacks, an adversary uses too many points of power trace and a general description of the MLP method was not provided. In this paper, we eliminate these weaknesses by introducing the first fair comparison of power analysis attacks based on the MLP and templates. The comparison is accomplished by using the identical data sets, number of interesting points and guessing entropy as a metric. The first data set created contains the power traces of an unprotected AES implementation in order to classify the secret key stored. The second and third data sets were created independently from public available power traces corresponding to a masked AES implementation (DPA Contest v4). Secret offset is revealed depending on the number of interesting points and power traces in this experiment. Moreover, we create a general description of the MLP attack.


Power analysis MLP Machine learning Template attack Comparison 



Research described in this paper was financed by the National Sustainability Program under grant LO1401. For the research, infrastructure of the SIX Center was used.


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Zdenek Martinasek
    • 1
    Email author
  • Lukas Malina
    • 1
  • Krisztina Trasy
    • 2
  1. 1.Department of TelecommunicationsBrno University of TechnologyBrnoCzech Republic
  2. 2.Department of Garden and Landscape ArchitectureMendel University in BrnoLedniceCzech Republic

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