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Upper Bounds for the Security of Several Feistel Networks

Authors: Yosuke Todo;

Upper Bounds for the Security of Several Feistel Networks

Abstract

In this paper, we are dealing with upper bounds for the security of some Feistel networks. Such a topic has been discussed since the introduction of Luby-Rackoff construction, but it is unrealistic construction because its round functions must be chosen at random from the set of all functions. Knudsen dealt with more practical construction where its round functions are chosen at random from a family of 2 k randomly chosen functions, and showed an upper bound for the security by demonstrating generic key recovery attacks. However it is still difficult for designers to choose functions randomly. Then, this paper considers the security of some Feistel networks which have more efficient and practical round functions and are indeed used by some Feistel ciphers in practice. For this Feistel ciphers, we discover new properties using the relation of plaintexts and ciphertexts. By using our properties, we propose new generic key recovery attacks, and confirm the feasibility by implementing the attack for small block sizes. Our results indicate that the 6 round networks are not enough to complicate the relationship between plaintexts and ciphertexts, and how to insert a round key is very influential in the upper bound for the security. This feature should be taken into account when the round function is designed in future. Moreover, for immunity to our attacks and maintenance of the efficiency, we show design principles for efficient and secure Feistel ciphers.

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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!
5
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