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Part of book or chapter of book . 2005 . Peer-reviewed
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Related-Key Differential Attacks on Cobra-S128, Cobra-F64a, and Cobra-F64b

Authors: Changhoon Lee; Jongsung Kim; Seokhie Hong; Jaechul Sung; Sangjin Lee 0002;

Related-Key Differential Attacks on Cobra-S128, Cobra-F64a, and Cobra-F64b

Abstract

Data-dependent permutations (DDPs) which are very suitable for cheap hardware implementations have been introduced as a cryptographic primitive. Cobra-S128 and Cobra-F64 (which is a generic name for Cobra-F64a and Cobra-F64b) are 128-bit and 64-bit iterated block ciphers with a 128-bit key size based on such DDPs, respectively. Unlike the predecessor DDP-based ciphers [16,5], Cobra-S128 is a software-oriented cipher and Cobra-F64 is a firmware-suitable cipher. In this paper, we derive several structural properties of Cobra-S128 and Cobra-F64 and then use them to devise key recovery attacks on Cobra-S128 and Cobra-F64. These works are the first known attacks on Cobra-S128 and Cobra-F64.

Country
Belgium
Keywords

data-dependent permutation, Technology, Science & Technology, Computer Science, Information Systems, Cobra-F64, related-key attack, block cipher, SPECTR-H64, cosic, CIKS-1, CRYPTANALYSIS, CIPHERS, Computer Science, Theory & Methods, Cobra-S128, Computer Science

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Top 10%
Average
Green