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New Results on the SymSum Distinguisher on Round-Reduced SHA3

Authors: Sahiba Suryawanshi; Dhiman Saha; Satyam Sachan;

New Results on the SymSum Distinguisher on Round-Reduced SHA3

Abstract

In ToSC 2017 Saha et al. demonstrated an interesting property of SHA3 based on higher-order vectorial derivatives which led to self-symmetry based distinguishers referred to as SymSum and bettered the complexity w.r.t the well-studied ZeroSum distinguisher by a factor of 4. This work attempts to take a fresh look at this distinguisher in the light of the linearization technique developed by Guo et al. in Asiacrypt 2016. It is observed that the efficiency of SymSum against ZeroSum drops from 4 to 2 for any number of rounds linearized. This is supported by theoretical proofs. SymSum augmented with linearization can penetrate up to two more rounds as against the classical version. In addition to that, one more round is extended by inversion technique on the final hash values. The combined approach leads to distinguishers up to 9 rounds of SHA3 variants with a complexity of only [Formula: see text] which is better than the equivalent ZeroSum distinguisher by the factor of 2. To the best of our knowledge this is the best distinguisher available on this many rounds of SHA3.

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    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).
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    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.
    Top 10%
    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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    impulse
    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!
3
Top 10%
Average
Average
Green
bronze