Weight support technique and the symmetric Boolean functions with maximum algebraic immunity on even number of variables

4Citations
Citations of this article
5Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The weight support technique is applied to study the symmetric Boo- lean functions with maximum algebraic immunity on even number of variables. The problem to study the n-variable(n even) symmetric Boolean functions with maximum algebraic immunity is reduced to the problem to determine . Then some new results about are got. A fast algorithm to get all the n-variable(n even) symmetric Boolean functions with maximum algebraic immunity is also given. © 2008 Springer-Verlag Berlin Heidelberg.

Cite

CITATION STYLE

APA

Qu, L., & Li, C. (2008). Weight support technique and the symmetric Boolean functions with maximum algebraic immunity on even number of variables. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4990 LNCS, pp. 271–282). https://doi.org/10.1007/978-3-540-79499-8_22

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free