Basis Reduction Algorithms and Subset Sum Problems
Name
AITR-1283.pdf
Size
6.17 MB
Format
Adobe PDF
Checksum (MD5)
6e3fee20a73eb5433bb140d222858d4f
Name
AITR-1283.ps
Size
17.51 MB
Format
PostScript
Checksum (MD5)
b0a71800e1b20315c2caefea368ccaab
Author(s)
LaMacchia, Brian A.
Date Issued
June 1, 1991
Series/Report no.
AITR-1283
Abstract
This thesis investigates a new approach to lattice basis reduction suggested by M. Seysen. Seysen's algorithm attempts to globally reduce a lattice basis, whereas the Lenstra, Lenstra, Lovasz (LLL) family of reduction algorithms concentrates on local reductions. We show that Seysen's algorithm is well suited for reducing certain classes of lattice bases, and often requires much less time in practice than the LLL algorithm. We also demonstrate how Seysen's algorithm for basis reduction may be applied to subset sum problems. Seysen's technique, used in combination with the LLL algorithm, and other heuristics, enables us to solve a much larger class of subset sum problems than was previously possible.
Subjects
subset sum problems
knapsack cryptosystems
public keyscryptography
integer lattice
Seysen's algorithm
lattice basissreduction
Persistent DSpace Link