Paper 2022/245
Entropic Hardness of Module-LWE from Module-NTRU
Abstract
The Module Learning With Errors problem (M-LWE) has gained popularity in recent years for its security-efficiency balance, and its hardness has been established for a number of variants. In this paper, we focus on proving the hardness of (search) M-LWE for general secret distributions, provided they carry sufficient min-entropy. This is called entropic hardness of M-LWE. First, we adapt the line of proof of Brakerski and Döttling on R-LWE (TCC’20) to prove that the existence of certain distributions implies the entropic hardness of M-LWE. Then, we provide one such distribution whose required properties rely on the hardness of the decisional Module-NTRU problem.
Metadata
- Available format(s)
- Category
- Foundations
- Publication info
- Published elsewhere. Indocrypt 2022
- DOI
- 10.1007/978-3-031-22912-1_4
- Keywords
- Lattice-based CryptographyModule Learning With ErrorsEntropic HardnessModule-NTRU
- Contact author(s)
-
katharina boudgoust @ cs au dk
corentin jeudy @ irisa fr
adeline roux-langlois @ cnrs fr
weiqiang wen @ telecom-paris fr - History
- 2023-02-20: last of 3 revisions
- 2022-03-02: received
- See all versions
- Short URL
- https://ia.cr/2022/245
- License
-
CC BY
BibTeX
@misc{cryptoeprint:2022/245, author = {Katharina Boudgoust and Corentin Jeudy and Adeline Roux-Langlois and Weiqiang Wen}, title = {Entropic Hardness of Module-{LWE} from Module-{NTRU}}, howpublished = {Cryptology {ePrint} Archive, Paper 2022/245}, year = {2022}, doi = {10.1007/978-3-031-22912-1_4}, url = {https://eprint.iacr.org/2022/245} }