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On applying linear cryptanalysis to IDEA

Authors: Hawkes, Philip; O'Connor, Luke;

On applying linear cryptanalysis to IDEA

Abstract

Linear cryptanalysis is a well-known attack based on linear approximations, and is said to be feasiblefor an n-bit block cipher if the data complexity is at most 2. In this paper we consider IDEA with independent and uniformly distributed subkeys, referred to as IDEA with extended subkeys. We prove that any linear approximation of IDEA with extended subkeys, generalized to R rounds, requires at least approximations to the multiply operation. We argue that the best approximations are based on approximating least significant bits in the round operations and show that the probability of selecting a key for which such a linear cryptanalysis is feasible on IDEA is approximately 2.

Keywords

1700 Computer Science, 2614 Theoretical Computer Science

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Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
13
Average
Top 10%
Average
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