Decoding Random Binary Linear Codes in 2^(n/20): How 1+1=0 Improves Information Set Decoding
Eurocrypt 2012
PublishedSource checked
- Time bound
- 20.0494 n + o(n)
- Space bound
- —
- Source / version date
- 20 Jan 2012
- Comparison variant
- Binary · half distance
- Cost scale
- 2c n + o(n)
- Field
- 𝔽₂
- Code rate convention
- Worst rate in the half-distance convention
- Error-weight regime
- Half the GV distance
- Cost model
- Asymptotic ISD operation count
- reference
- BJMM12
Assumptions and source notes
EUROCRYPT 2012. Historical asymptotic half-distance bound, maximized over rates. This coefficient must not be transferred to full-distance decoding or a fixed-rate instance.
BibTeXDownload .bib
@misc{paper-f1a990a4cd6f,
author = {Anja Becker and Antoine Joux and Alexander May and Alexander Meurer},
title = {{Decoding Random Binary Linear Codes in 2^(n/20): How 1+1=0 Improves Information Set Decoding}},
year = {2012},
url = {https://eprint.iacr.org/2012/026},
cr_date = {2012-01-20},
cr_status = {published},
cr_author_ids = {anja-becker; antoine-joux; alexander-may; alexander-meurer},
howpublished = {EUROCRYPT 2012; full version Cryptology ePrint Archive, Paper 2012/026}
}