A proof of convergence for Ant algorithms
Information Sciences—Informatics and Computer Science: An International Journal
Exchange strategies for multiple Ant Colony System
Information Sciences: an International Journal
A particle swarm optimization approach to nonlinear rational filter modeling
Expert Systems with Applications: An International Journal
GSA: A Gravitational Search Algorithm
Information Sciences: an International Journal
Digital secure communication via chaotic systems
Digital Signal Processing
Design and implementation of digital secure communication based on synchronized chaotic systems
Digital Signal Processing
A study of particle swarm optimization particle trajectories
Information Sciences: an International Journal
Filter modeling using gravitational search algorithm
Engineering Applications of Artificial Intelligence
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A discrete gravitational search algorithm for solving combinatorial optimization problems
Information Sciences: an International Journal
Hi-index | 0.00 |
A new chaotic secure communication scheme based on a gravitational search algorithm (GSA) filter is proposed. In this scheme, useful signals are delivered via an encoder, a chaotic transmitter, a GSA-based filter, a chaotic receiver, and a decoder. The security of such a communication system is promoted due to the unpredictable features of the chaotic map and the unknown encoding-modulation scheme. By using a GSA filter technique the resistance of the system to noise is enhanced. To verify the effectiveness of the proposed scheme, it is compared with the current state-of-the-art schemes in simulations. At the same time, comparisons with a genetic algorithm (GA) filter and a particle swarm optimization (PSO) filter are made. Numerical simulations confirm that the proposed method is better in estimating the states and information symbols, and has a lower bit error rate than other schemes.