Title
Decoding Linear Codes with High Error Rate and its Impact for LPN Security.
Abstract
We propose a new algorithm for the decoding of random binary linear codes of dimension n that is superior to previous algorithms for high error rates. In the case of Full Distance decoding, the best known bound of (2^{0.0953n}) is currently achieved via the BJMM-algorithm of Becker, Joux, May and Meurer. Our algorithm significantly improves this bound down to (2^{0.0885n}).
Year
Venue
DocType
2018
PQCrypto
Conference
Citations 
PageRank 
References 
2
0.37
6
Authors
2
Name
Order
Citations
PageRank
Leif Both120.71
Alexander May2895.98