THE CPA QUALIFICATION METHOD BASED ON THE GAUSSIAN CURVE FITTING

Abstract: The Correlation Power Analysis (CPA) attack is an attack on cryptographic devices, especially smart cards. The results of the attack are correlation traces. Based on the correlation traces, an evaluation is done to observe whether significant peaks appear in the traces or not. The evaluation is done manually, by experts. If significant peaks appear then the smart card is not considered secure since it is assumed that the secret  key  is  revealed.  We  develop  a  method  that  objectively  detects  peaks  and  decides  which  peak  is significant.  We  conclude  that  using  the  Gaussian  curve  fitting method,  the  subjective  qualification  of  the  peak significance can be objectified. Thus, better decisions can be taken by security experts. We also conclude that the Gaussian curve fitting method is able to show the influence of peak sizes, especially the width and height, to a significance of a particular peak.

Keywords: Cryptography,  side  channel  attack,  correlation  power  analysis,  smart  cards,  significant  peak detection, Gaussian curve fitting

Author: M.T. Adithia

Journal Code: jptinformatikagg150006

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