Paper 2006/163
Achieving a log(n) Speed Up for Boolean Matrix Operations and Calculating the Complexity of the Dense Linear Algebra step of Algebraic Stream Cipher Attacks and of Integer Factorization Methods
Gregory V. Bard
Abstract
The purpose of this paper is to calculate the running time of dense boolean matrix operations,
as used in stream cipher cryptanalysis and integer factorization. Several variations of Gaussian
Elimination, Strassen's Algorithm and the Method of Four Russians are analyzed. In particular,
we demonstrate that Strassen's Algorithm is actually slower than the Four Russians algorithm for
matrices of the sizes encountered in these problems. To accomplish this, we introduce a new model
for tabulating the running time, tracking matrix reads and writes rather than field operations, and
retaining the coefficients rather than dropping them. Furthermore, we introduce an algorithm known
heretofore only orally, a ``Modified Method of Four Russians'', which has not appeared in the literature
before. This algorithm is
Note: More numerical testing will follow in updates to this paper.
Metadata
- Available format(s)
-
PDF
- Category
- Secret-key cryptography
- Publication info
- Published elsewhere. Not yet published. Submitted to a conference.
- Keywords
- Matrix InversionMatrix MultiplicationBoolean MatricesGF(2)Stream Cipher CryptanalysisXL AlgorithmStrassen’s AlgorithmMethod of Four RussiansGaussian EliminationLU-factorization.
- Contact author(s)
- gregory bard @ ieee org
- History
- 2006-05-16: received
- Short URL
- https://ia.cr/2006/163
- License
-
CC BY
BibTeX
@misc{cryptoeprint:2006/163, author = {Gregory V. Bard}, title = {Achieving a log(n) Speed Up for Boolean Matrix Operations and Calculating the Complexity of the Dense Linear Algebra step of Algebraic Stream Cipher Attacks and of Integer Factorization Methods}, howpublished = {Cryptology {ePrint} Archive, Paper 2006/163}, year = {2006}, url = {https://eprint.iacr.org/2006/163} }