THE CPA QUALIFICATION METHOD BASED ON THE GAUSSIAN CURVE FITTING

Authors

  • M.T. Adithia Informatics Department, Parahyangan Catholic University Jl. Ciumbuleuit No. 94, Bandung, 40141

:

https://doi.org/10.9744/informatika.13.2.56-62

Keywords:

Cryptography, side channel attack, correlation power analysis, smart cards, significant peak detection, 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.

References

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Published

2016-02-01

How to Cite

Adithia, M. (2016). THE CPA QUALIFICATION METHOD BASED ON THE GAUSSIAN CURVE FITTING. Jurnal Informatika, 13(2), 56-62. https://doi.org/10.9744/informatika.13.2.56-62

Issue

Vol. 13 No. 2 (2015): NOVEMBER 2015

Section

Articles

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