Improved Decryption Bounds and Key Generation for Matrix NTRU over Integral Domain

Shor’s algorithm [Shor 1994] is the main threat to classical public-key cryptography. Since its introduction in 1996, NTRU and its variants aim to develop cryptographic algorithms that are secure even against quantum computers. In this work, we study the matrix NTRU over integral domains proposed in 2023. We found that there is an error on the condition to avoid decryption failures and the key generation process is not practical due to severe limitations on matrix inversion. We propose a corrected statement for the decryption failure theorem and an expansion of the set of solutions when dealing with the problem of inverting matrix in Mn(Z[ √ −3]) that makes the key generation significantly faster.

Authors

Institutions

Publication Details

Published
2025-09-01
DOI
https://doi.org/10.5753/sbseg.2025.9721
Primary Topic
Cryptography and Data Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Improved Decryption Bounds and Key Generation for Matrix NTRU over Integral Domain

Thiago do Rêgo Sousa, Tertuliano Souza Neto
Cryptography and Data Security
article

Improved Decryption Bounds and Key Generation for Matrix NTRU over Integral Domain

Thiago do Rêgo Sousa, Tertuliano Souza Neto
article en

Abstract

Shor’s algorithm [Shor 1994] is the main threat to classical public-key cryptography. Since its introduction in 1996, NTRU and its variants aim to develop cryptographic algorithms that are secure even against quantum computers. In this work, we study the matrix NTRU over integral domains proposed in 2023. We found that there is an error on the condition to avoid decryption failures and the key generation process is not practical due to severe limitations on matrix inversion. We propose a corrected statement for the decryption failure theorem and an expansion of the set of solutions when dealing with the problem of inverting matrix in Mn(Z[ √ −3]) that makes the key generation significantly faster.

Centro de Estudos e Pesquisa em Saúde Coletiva (BR)
Openalex Percentile: Top 87%
Cryptography and Data Security
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.