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Computer Science > Cryptography and Security

arXiv:2102.06344 (cs)
[Submitted on 12 Feb 2021 (v1), last revised 19 May 2021 (this version, v2)]

Title:Generating cryptographically-strong random lattice bases and recognizing rotations of $\mathbb{Z}^n$

Authors:Tamar Lichter Blanks, Stephen D. Miller
View a PDF of the paper titled Generating cryptographically-strong random lattice bases and recognizing rotations of $\mathbb{Z}^n$, by Tamar Lichter Blanks and Stephen D. Miller
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Abstract:Lattice-based cryptography relies on generating random bases which are difficult to fully reduce. Given a lattice basis (such as the private basis for a cryptosystem), all other bases are related by multiplication by matrices in $GL(n,\mathbb{Z})$. We compare the strengths of various methods to sample random elements of $GL(n,\mathbb{Z})$, finding some are stronger than others with respect to the problem of recognizing rotations of the $\mathbb{Z}^n$ lattice. In particular, the standard algorithm of multiplying unipotent generators together (as implemented in Magma's RandomSLnZ command) generates instances of this last problem which can be efficiently broken, even in dimensions nearing 1,500. Likewise, we find that the random basis generation method in one of the NIST Post-Quantum Cryptography competition submissions (DRS) generates instances which can be efficiently broken, even at its 256-bit security settings. Other random basis generation algorithms (some older, some newer) are described which appear to be much stronger.
Comments: 20 pages, 2 figures, to appear in PQCrypto 2021
Subjects: Cryptography and Security (cs.CR); Group Theory (math.GR); Number Theory (math.NT)
Cite as: arXiv:2102.06344 [cs.CR]
  (or arXiv:2102.06344v2 [cs.CR] for this version)
  https://doi.org/10.48550/arXiv.2102.06344
arXiv-issued DOI via DataCite

Submission history

From: Stephen D. Miller [view email]
[v1] Fri, 12 Feb 2021 04:10:53 UTC (3,291 KB)
[v2] Wed, 19 May 2021 14:25:09 UTC (3,291 KB)
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