Spring 2020

LWE with Side Information: Attacks and Concrete Security Estimation

Tuesday, April 28th, 2020, 8:30 am9:15 am

Add to Calendar


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 (slightly) 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.

Category / Keywords: public-key cryptography / LWE, NTRU, Lattice reduction, Cryptanalysis, Side-channels analysis, decryption failures.

Date: received 5 Mar 2020, last revised 6 Mar 2020

Contact author: danadach at ece umd edu,l ducas@cwi nl,gong@cs umd edu,melissa rossi@ens fr

Available format(s): PDF | BibTeX Citation

Version: 20200306:193806 (All versions of this report)

Short URL:

PDF icon main.pdf3.24 MB