A fast phase-based enumeration algorithm for SVP challenge through y-sparse representations of short lattice vectors

0Citations
Citations of this article
21Readers
Mendeley users who have this article in their library.
Get full text

Abstract

In this paper, we propose a new phase-based enumeration algorithm based on two interesting and useful observations for y-sparse representations of short lattice vectors in lattices from SVP challenge benchmarks [24]. Experimental results show that the phase-based algorithm greatly outperforms other famous enumeration algorithms in running time and achieves higher dimensions, like the Kannan-Helfrich enumeration algorithm. Therefore, the phase-based algorithm is a practically excellent solver for the shortest vector problem (SVP).

Cite

CITATION STYLE

APA

Ding, D., Zhu, G., Yu, Y., & Zheng, Z. (2014). A fast phase-based enumeration algorithm for SVP challenge through y-sparse representations of short lattice vectors. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8949, pp. 101–113). Springer Verlag. https://doi.org/10.1007/978-3-319-15943-0_7

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free