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Enhanced Differential Power Analysis based on the Generalized Signal Companding Methods

일반화된 신호 압신법에 기반한 향상된 차분전력분석 방법

  • Received : 2011.03.07
  • Accepted : 2011.04.12
  • Published : 2011.08.31

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.

차분전력공격(Differential Power Analysis, DPA)의 효율성은 수집신호 정렬도를 비롯한 다양한 잡음에 많은 영향을 받는다. 최근에 Ryoo등은 잡음 신호를 극복하여 DPA의 분석성능 향상을 가져오는 효과적인 신호처리기법을 소개했다. 본 논문에서는 기존에 제안된 신호처리기법이 적용되지 않은 경우를 보이고, 이에 대한 해결방안으로 차분파형모델(Differential Trace Model, DTM)을 제안한다. 또한 제안된 DTM이 DPA 분석에 적합한가에 대해 이론적으로 증명하고 실험을 통해 검증한다.

Keywords

References

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