학술논문

Numerical Stability Reduction Algorithm for NTRU Symplectic Lattice
Document Type
Conference
Source
2023 5th International Academic Exchange Conference on Science and Technology Innovation (IAECST) Science and Technology Innovation (IAECST), 2023 5th International Academic Exchange Conference on. :132-137 Dec, 2023
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Fields, Waves and Electromagnetics
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Technological innovation
Upper bound
Costs
Lattices
Transforms
Public key cryptography
Vectors
symplectic lattice
lattice basis reduction
shortest vector problem
Language
Abstract
Lattice-based reduction algorithm is an important algorithm for solving the shortest vector (SVP) problem in lattice theory. It plays an important role in analyzing the security of NRTU public-key cryptosystems. But it has the problem of low efficiency for high-dimensional NTRU lattice reduction. This paper analyzes the upper bound of the GSO coefficient of the symplectic reduction of NTRU lattices, optimizes the constraints of the semi-length reduction and proposes MS-LLL reduction algorithm. Based on the Householder transformation to solve the numerical stability of QR decomposition, the HMS-LLL algorithm is given, with its realization principle and process. The experimental results show that the time cost of the HMS-LLL algorithm is close to that of the S-LLL algorithm, and the quality of the output results is better.