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DLCT를 활용한 향상된 차분선형 분석

Improved Differential-Linear Cryptanalysis Using DLCT

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주제분류컴퓨터학

초록

차분선형 분석의 복잡도는 라운드 독립성, 선형 근사식 독립성, 차분 경로를 만족하지 못하는 경로에 대한 균일성가정 아래 계산되는 차분선형 특성의 확률에 큰 영향을 받는다. 따라서 차분선형 특성의 정확한 확률을 계산하는 것은 공격의 유효성과 관련된 매우 중요한 문제이다. 본 논문은 차분선형 분석을 위한 새로운 개념DLCT(Differential-Linear Connectivity Table)를 제안한다. 그리고 DLCT를 적용하여 선형 근사식 독립성가정을 완화할 수 있는 차분선형 특성의 향상된 확률 계산 방법을 제안하며, DES와 SERPENT에 적용하여 기존분석결과를 재분석한다. DES의 7-라운드 차분선형 특성의 확률은    , SERPENT의 9-라운드 차분선형특성의 확률은    로 다시 계산되었고 공격에 필요한 데이터 복잡도는 각각  , 배 감소한다.

Abstract

The complexity of the differential-linear cryptanalysis is strongly influenced by the probability of the differential-linearcharacteristic computed under the assumption of round independence, linear approximation independence, and uniformity forthe trail that does not satisfy differential trail. Therefore, computing the exact probability of the differential-linearcharacteristic is a very important issue related to the validity of the attack. In this paper, we propose a new concept calledDLCT(Differential-Linear Connectivity Table) for the differential-linear cryptanalysis. Additionally, we propose an improvedprobability computation technique of differential-linear characteristic by applying DLCT. By doing so, we were able toweaken linear approximation independence assumption. We reanalyzed the previous results by applying DLCT to DES andSERPENT. The probability of 7-round differential-linear characteristic of DES is    , the probability of 9-rounddifferential-linear characteristic of SERPENT is computed again to    , and data complexity required for the attackis reduced by  and  times, respectively.

참고문헌 (16)

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