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Lirias
Conference object . 2006
Data sources: Lirias
https://doi.org/10.1007/119413...
Part of book or chapter of book . 2006 . Peer-reviewed
Data sources: Crossref
DBLP
Conference object . 2024
Data sources: DBLP
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Update on Tiger

Authors: Mendel, Florian; Preneel, Bart; Rijmen, Vincent; Yoshida, Hirotaka; Watanabe, Dai;

Update on Tiger

Abstract

Tiger is a cryptographic hash function with a 192-bit hash value which was proposed by Anderson and Biham in 1996. At FSE 2006, Kelsey and Lucks presented a collision attack on Tiger reduced to 16 (out of 24) rounds with complexity of about 244. Furthermore, they showed that a pseudo-near-collision can be found for a variant of Tiger with 20 rounds with complexity of about 248. In this article, we show how their attack method can be extended to construct a collision in the Tiger hash function reduced to 19 rounds. We present two different attack strategies for constructing collisions in Tiger-19 with complexity of about 262 and 269. Furthermore, we present a pseudo-near-collision for a variant of Tiger with 22 rounds with complexity of about 244.

Country
Belgium
Keywords

Technology, COLLISIONS, Science & Technology, hash functions, cosic, cryptanalysis, Computer Science, Theory & Methods, near-collision, pseudo-near-collision, Computer Science, pseudo-collision, differential attack, collision

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    popularity
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    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
11
Average
Top 10%
Top 10%
Green