Title
Lp Solutions Of Vectorial Integer Subset Sums - Cryptanalysis Of Galbraith'S Binary Matrix Lwe
Abstract
We consider Galbraith's space efficient LWE variant, where the (m x n)-matrix A is binary. In this binary case, solving a vectorial subset sum problem over the integers allows for decryption. We show how to solve this problem using (Integer) Linear Programming. Our attack requires only a fraction of a second for all instances in a regime for m that cannot be attacked by current lattice algorithms. E.g. we are able to solve 100 instances of Galbraith's small LWE challenge (n, m) = (256, 400) all in a fraction of a second. We also show under a mild assumption that instances with m <= 2n can be broken in polynomial time via LP relaxation. Moreover, we develop a method that identifies weak instances for Galbraith's large LWE challenge (n, m) = (256, 640).
Year
DOI
Venue
2017
10.1007/978-3-662-54365-8_1
PUBLIC-KEY CRYPTOGRAPHY (PKC 2017), PT I
Keywords
Field
DocType
Binary matrix LWE, Linear programming, Cryptanalysis
Integer,Discrete mathematics,Subset sum problem,Combinatorics,Lattice (order),Logical matrix,Linear programming,Time complexity,Linear programming relaxation,Mathematics,Binary number
Conference
Volume
ISSN
Citations 
10174
0302-9743
1
PageRank 
References 
Authors
0.35
11
2
Name
Order
Citations
PageRank
Gottfried Herold1584.02
Alexander May2895.98