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Differential Factors Revisited: Corrected Attacks on PRESENT and SERPENT

机译:再谈差异因素:纠正了对PRESENT和SERPENT的攻击

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Differential factors, which prevent the attacker to distinguish some of the guessed keys corresponding to an active S-box during a differential attack on a block cipher, are recently introduced at Lightsec 2014 and used to reduce the time complexities of the previous differential-linear attacks on Serpent. Key recovery attacks generally consists of two parts: Key guess using the distinguisher and exhaustive search on the remaining key bits. Thus, we show that differential factors can reduce the time complexity of the former and increase the latter since the attacker does not need to guess the keys which cannot be distinguished. As an example for the latter, we show that the best known differential attack on Present overlooked its six differential factors and the corrected attack actually requires a time complexity increased by a factor of 64. Moreover, we show that differential factors also reduce data complexity of the differential attacks since less number of pairs are required to distinguish the correct key when the key space is reduced. This reduction in data complexity also reduces the time complexity. By using Serpent's differential factors, we further reduce the data and time complexity of the differential-linear attacks on this cipher to obtain the best attacks.
机译:最近在Lightsec 2014上引入了差分因素,该因素可防止攻击者在对分组密码的差分攻击期间区分与活动S-box对应的某些猜测密钥,这些差分因素可用于降低以前的差分线性攻击的时间复杂性在蛇上。密钥恢复攻击通常包括两部分:使用区分符的密钥猜测和对其余密钥位的详尽搜索。因此,由于攻击者无需猜测无法区分的密钥,因此我们证明了差分因子可以降低前者的时间复杂度并增加后者的时间复杂度。以后者为例,我们表明对Present的最著名的差分攻击忽略了它的六个差分因子,而纠正后的攻击实际上需要将时间复杂度提高64倍。此外,我们还表明,差分因子还可以降低数据的复杂度。因为减少了密钥空间时需要较少的配对数来区分正确的密钥,所以可以进行差分攻击。数据复杂度的降低也降低了时间复杂度。通过使用Serpent的微分因子,我们进一步降低了对该密码进行微分线性攻击的数据和时间复杂度,以获得最佳攻击。

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