Improved Nguyen-Vidick heuristic sieve algorithm for shortest vector problem

  • Authors:
  • Xiaoyun Wang;Mingjie Liu;Chengliang Tian;Jingguo Bi

  • Affiliations:
  • Tsinghua University, Beijing, Shandong University, Jinan, China;Tsinghua University, Beijing, China;Shandong University, Jinan, China;Shandong University, Jinan, China

  • Venue:
  • Proceedings of the 6th ACM Symposium on Information, Computer and Communications Security
  • Year:
  • 2011

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Abstract

In this paper, we present an improvement of the Nguyen-Vidick heuristic sieve algorithm for shortest vector problem in general lattices, which time complexity is 20.3836n polynomial computations, and space complexity is 20.2557n. In the new algorithm, we introduce a new sieve technique with two-level instead of the previous one-level sieve, and complete the complexity estimation by calculating the irregular spherical cap covering.