Paper Info
Title
Finding Efficient Nonlinear Functions by Means of Genetic Programming
Abstract
The design of highly nonlinear functions is relevant for a number of different applications, ranging from database hashing to message authentication. But, apart from useful, it is quite a challenging task. In this work, we propose the use of genetic programming for finding functions that optimize a particular nonlinear criteria, the avalanche effect, using only very efficient operations, so that the resulting functions are extremely efficient both in hardware and in software.
Year
DOI
Venue
2003
10.1007/978-3-540-45224-9_161
KES
Keywords
Field
DocType
message authentication
Nonlinear system,Block cipher,Message authentication code,Computer science,Theoretical computer science,Genetic programming,Software,Hash function,Genetic program,Avalanche effect
Conference
Citations 
PageRank 
References 
0
0.34
2
Authors
3
Name
Order
Citations
PageRank
Julio César Hernández Castro118937.03
Pedro Isasi237042.14
Cristóbal Luque Del Arco-calderón361.36