Genetic Algorithm Optimized Packet Filtering
Okta Nurika, Nordin Zakaria, Low Tan Jung · International Journal of Control and Automation · 2013
In this paper, we present a method to optimize packet filtering by genetic algorithm.Packet filtering in our work consists of packet capturing and firewall rules reordering.Genetic algorithm is used to automate rules reordering and the discovery of optimal combination of packet capture configuration, in the framework of PF_RING platform and rules ordering.Our method has been tested in different sizes of network traffic load.Genetic Algorithm evolves configuration based on the recorded throughput rates; the higher the throughput the better the solution.Results obtained indicate the effectiveness of the approach.