Public Key Cryptography Using Particle Swarm Optimization and Genetic Algorithms

Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Security
Format: PDF
In this paper, the authors propose an algorithm for Public Key Cryptography (PKC) using the hybrid concept of two evolutionary algorithms, Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) respectively. PSO alone are fast and easy to implement, they follow the procedures of common evolutionary algorithm and posses memory feature which is absent in GA making it more valuable. In GA whole population or set of individual chromosome work together sharing information to reach an optimal solution whereas PSO focuses on only the best possible solution.

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