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KangarooTwelve: Fast Hashing Based on Keccak-p.

Authors: Guido Bertoni; Joan Daemen; Michaël Peeters; Gilles Van Assche; Ronny Van Keer; Benoît Viguier;

KangarooTwelve: Fast Hashing Based on Keccak-p.

Abstract

We present KangarooTwelve, a fast and secure arbitrary output-length hash function aiming at a higher speed than the FIPS 202’s SHA-3 and SHAKE functions. While sharing many features with SHAKE128, like the cryptographic primitive, the sponge construction, the eXtendable Output Function (XOF) and the 128-bit security strength, KangarooTwelve offers two major improvements over its standard counterpart. First it has a built-in parallel mode that efficiently exploits multi-core or SIMD instruction parallelism for long messages, without impacting the performance for short messages. Second, relying on the cryptanalysis results on Keccak over the past ten years, we tuned its permutation to require twice less computation effort while still offering a comfortable safety margin. By combining these two changes KangarooTwelve consumes less than 0.55 cycles/byte for long messages on the latest Intel $$^{\circledR }$$ ® ’s SkylakeX architectures. The generic security of KangarooTwelve is guaranteed by the use of Sakura encoding for the tree hashing and of the sponge construction for the compression function.

Contains fulltext : 195384.pdf (Publisher’s version ) (Open Access)

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Lecture notes in computer science, Digital Security

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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!
0
Average
Average
Average
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