Performance Improvement of Power Analysis Attacks based on Wavelet De-noising 


Vol. 35,  No. 9, pp. 1330-1341, Sep.  2010


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  Abstract

Power analysis (PA) is known as a powerful physical attack method in the field of information security. This method uses the statistical characteristics of leaked power consumption signals measured from security devices to reveal the secret keys. However, when measuring a leakage power signal, it may be easily distorted by the noise due to its low magnitude values, and thus the PA attack shows different performances depending on the noise level of the measured signal. To overcome this vulnerability of the PA attack, we propose a noise-reduction method based on wavelet de-noising. Experimental results show that the proposed de-noising method improves the attack efficiency in terms of the number of signals required for the successful attack as well as the reliability on the guessing key.

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  Cite this article

[IEEE Style]

W. Kim, K. Song, Y. Lee, H. W. Kim, H. Kim, "Performance Improvement of Power Analysis Attacks based on Wavelet De-noising," The Journal of Korean Institute of Communications and Information Sciences, vol. 35, no. 9, pp. 1330-1341, 2010. DOI: .

[ACM Style]

Wan-Jin Kim, Kyoung-Won Song, Yu-Ri Lee, Ho Won Kim, and Hyoung-Nam Kim. 2010. Performance Improvement of Power Analysis Attacks based on Wavelet De-noising. The Journal of Korean Institute of Communications and Information Sciences, 35, 9, (2010), 1330-1341. DOI: .

[KICS Style]

Wan-Jin Kim, Kyoung-Won Song, Yu-Ri Lee, Ho Won Kim, Hyoung-Nam Kim, "Performance Improvement of Power Analysis Attacks based on Wavelet De-noising," The Journal of Korean Institute of Communications and Information Sciences, vol. 35, no. 9, pp. 1330-1341, 9. 2010.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880