The polynomial learning with errors problem and the smearing condition

Autor: Babinkostova Liljana, Chin Ariana, Kirtland Aaron, Nazarchuk Vladyslav, Plotnick Esther
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Journal of Mathematical Cryptology, Vol 16, Iss 1, Pp 215-232 (2022)
Druh dokumentu: article
ISSN: 1862-2984
DOI: 10.1515/jmc-2020-0035
Popis: As quantum computing advances rapidly, guaranteeing the security of cryptographic protocols resistant to quantum attacks is paramount. Some leading candidate cryptosystems use the learning with errors (LWE) problem, attractive for its simplicity and hardness guaranteed by reductions from hard computational lattice problems. Its algebraic variants, ring-learning with errors (RLWE) and polynomial learning with errors (PLWE), gain efficiency over standard LWE, but their security remains to be thoroughly investigated. In this work, we consider the “smearing” condition, a condition for attacks on PLWE and RLWE introduced in Elias et al. We expand upon some questions about smearing posed by Elias et al. and show how smearing is related to the coupon collector’s problem. Furthermore, we develop an algorithm for computing probabilities related to smearing. Finally, we present a smearing-based algorithm for solving the PLWE problem.
Databáze: Directory of Open Access Journals