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Paper 2020/292

LWE with Side Information: Attacks and Concrete Security Estimation

Dana Dachman-Soled and Léo Ducas and Huijing Gong and Mélissa Rossi

Abstract

We propose a framework for cryptanalysis of lattice-based schemes, when side information---in the form of ``hints''--- about the secret and/or error is available. Our framework generalizes the so-called primal lattice reduction attack, and allows the progressive integration of hints before running a final lattice reduction step. Our techniques for integrating hints include sparsifying the lattice, projecting onto and intersecting with hyperplanes, and/or altering the distribution of the secret vector. Our main contribution is to propose a toolbox and a methodology to integrate such hints into lattice reduction attacks and to predict the performance of those lattice attacks with side information. While initially designed for side-channel information, our framework can also be used in other cases: exploiting decryption failures, or simply exploiting constraints imposed by certain schemes (LAC, Round5, NTRU), that were previously not known to (sligthly) benefit from lattice attacks. We implement a Sage 9.0 toolkit to actually mount such attacks with hints when computationally feasible, and to predict their performances on larger instances. We provide several end-to-end application examples, such as an improvement of a single trace attack on Frodo by Bos et al (SAC 2018). Contrary to ad-hoc practical attacks exploiting side-channel leakage, our work is a generic way to estimate security loss even given very little side-channel information.

Metadata
Available format(s)
PDF
Category
Public-key cryptography
Publication info
Preprint. MINOR revision.
Keywords
LWENTRULattice reductionCryptanalysisSide-channels analysisdecryption failures.
Contact author(s)
danadach @ ece umd edu,l ducas @ cwi nl,gong @ cs umd edu,melissa rossi @ ens fr
History
2022-10-24: last of 3 revisions
2020-03-06: received
See all versions
Short URL
https://ia.cr/2020/292
License
Creative Commons Attribution
CC BY
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