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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao European Transaction...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
European Transactions on Telecommunications
Article . 1997 . Peer-reviewed
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Differential cryptanalysis of RC5

Authors: Willi Meier; Lars R. Knudsen;

Differential cryptanalysis of RC5

Abstract

AbstractIn this paper we investigate the strength of the secret‐key algorithm RC5 proposed by Ron Rivest. The target version of RC5 works on words of 32 bits, has 12 rounds and a user‐selected key of 128 bits. Kaliski and Yin estimated the strength of RC5 by differential and linear cryptanalysis. They conjectured that their linear analysis is optimal and that the use of 12 rounds for RC5 is sufficient to make both differential and linear cryptanalysis impractical. In this paper we show that the differential analysis made by Kaliski and Yin is not optimal. We give differential attacks better by up to a factor of 512. Also we show that RC5 has many weak keys with respect to differential attacks. This weakness relies on the structure of the cipher and not on the key schedule. Finally we discuss some possible extensions of our attacks and some modifications of RC5 in order to improve the resistance against our differential attacks.

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citations
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!
4
Average
Top 10%
Average
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