Enhanced Differential Power Analysis based on the Generalized Signal Companding Methods 


Vol. 18,  No. 4, pp. 213-216, Aug.  2011
10.3745/KIPSTC.2011.18.4.213


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  Abstract

Differential Power Analysis is fully affected by various noises including temporal misalignment. Recently, Ryoo et al have introduced an efficient preprocessor method leading to improvements in DPA by removing the noise signals. This paper experimentally proves that the existing preprocessor method is not applied to all processor. To overcome this defect, we propose a Differential Trace Model(DTM). Also, we theoretically prove and experimentally confirm that the proposed DTM suites DPA.

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[IEEE Style]

J. S. Choi, J. C. Ryoo, D. G. Han, T. H. Park, "Enhanced Differential Power Analysis based on the Generalized Signal Companding Methods," The KIPS Transactions:PartC, vol. 18, no. 4, pp. 213-216, 2011. DOI: 10.3745/KIPSTC.2011.18.4.213.

[ACM Style]

Ji Sun Choi, Jeong Choon Ryoo, Dong Guk Han, and Tae Hoon Park. 2011. Enhanced Differential Power Analysis based on the Generalized Signal Companding Methods. The KIPS Transactions:PartC, 18, 4, (2011), 213-216. DOI: 10.3745/KIPSTC.2011.18.4.213.

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