AI & ML
Poly Versus Polyval
arXiv cs.CR0 views
arXiv:2610.41565v1 Announce Type: new Abstract: We revisit the basic construction of polynomial evaluation based hash function, which we call Poly, over binary extension fields over $GF(2^n)$, where $n=64k$ and $k\geq 2$. Unlike GHASH, the NIST standard polynomial evaluation based hash function for $n=128$, Poly does not perform the unnecessary bit reversals of each $n$-bit block, and consequently is faster than GHASH. Further, Poly differs from Polyval, -- a faster alternative to GHASH, -- in that Poly performs usual reduction, while Polyval performs Montgomery reduction. We identify suitable choices of the field representing irreducible polynomials which makes usual and Montgomery reductions efficient. We provide detailed algorithms, and associated proofs of correctness for both kinds of reductions. Based on the algorithms, we report carefully optimised assembly implementation of both Poly and Polyval for $n=128,256$ and $512$. Our theoretical analysis and experimental timing results show that for $n=128$, Polyval is faster than Poly, while for $n=256$ and $512$ (as well as for higher values of $n$), Poly is faster than Polyval. The cases $n=128$ and $256$ are of current relevance due to the ongoing NIST process for developing cryptographic accordions.
Source:https://arxiv.org/abs/2610.41565PreviousGESIS Surf: An Open-Source Infrastructure for Privacy-Preserving Longitudinal Web Browsing Data CollectionNextFooling Relying Parties of the EUDI Wallet Architecture: Credential Pooling Attacks and CRESTA, a Standard-Compliant Countermeasure
Related posts
Apple is reportedly cutting budgets for its internal AI usage
0TechCrunch
TIL: Six Environment Fields That Decide Whether GBase Database Installation Starts
0dev.to

Mapping payload for robot dogs: LiDAR SLAM hardware setup from sensor to map
0dev.to
TIL: host vs agent_host in GBase Database(GBase 8c) Network Configuration
0dev.to
An LLM edited a small model's weights directly and its math score rose 6x
0dev.to
American Voters Overwhelmingly Reject AI Data Centers
0Hacker News New