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https://doi.org/10.32657/10356...
Doctoral thesis . 2019 . Peer-reviewed
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Analysis of cryptographic hash functions

Authors: Guo, Jian;

Analysis of cryptographic hash functions

Abstract

This thesis concentrates on analysis of cryptographic hash functions, one of the most important primitives used in the modern cryptography. We start with an introduction of the cryptographic hash functions, and a survey on the development of the cryptanalysis tools. To enrich the cryptanalysts' toolbox, we developed several interesting techniques under the framework of differential cryptanalysis, and applied them to LAKE, BLAKE, ARIRANG and BMW to find collisions. We also improved the meet-in-the-middle preimage attacks, one of the most powerful techniques for breaking one-wayness of many functions, and applied these techniques to SHA-2, Tiger, MD4, and HAVAL to find preimages. All these techniques await for further development and applications to other hash functions including the candidates in current SHA-3 competition. MATHEMATICAL SCIENCES

Country
Singapore
Related Organizations
Keywords

DRNTU::Science::Mathematics::Discrete mathematics::Cryptography, :Science::Mathematics::Discrete mathematics::Cryptography [DRNTU], 004

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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!
0
Average
Average
Average
Green
bronze