Name
Title | ||
|---|---|---|
Heuristic Search by Particle Swarm Optimization of Boolean Functions for Cryptographic Applications |
Abstract | ||
|---|---|---|
We present a Particle Swarm Optimizer for generating boolean functions with good cryptographic properties. The proposed algorithm updates the particles positions while preserving their Hamming weights, to ensure that the generated functions are balanced, and it adopts Hill Climbing to further improve their nonlinearity and correlation immunity. The results of the optimization experiments for n=7 to n=12 variables show that this new PSO algorithm finds boolean functions with good trade-offs of nonlinearity, resiliency and Strict Avalanche Criterion. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1145/2739482.2764674 | GECCO (Companion) |
Field | DocType | Citations |
Boolean function,Particle swarm optimization,Hamming code,Hill climbing,Heuristic,Mathematical optimization,Correlation immunity,Computer science,Algorithm,Multi-swarm optimization,Circuit minimization for Boolean functions | Conference | 6 |
PageRank | References | Authors |
0.46 | 2 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luca Mariot | 1 | 47 | 11.35 |
| Alberto Leporati | 2 | 494 | 51.97 |