An Intelligent Packet Filtering Based on Bi-layer Particle Swarm Optimization with Reduced Search Space
In this proliferation world, quantity of information available is increasing in a rapid speed. Due to enormous increase in availability of data, many researches are trying to fetch the most relevant information from the available sources. Many organizations and institutions rely heavily on internet for their sources and solutions, chances for intrusion grow significantly. So, there arise a need for a mechanism that protects their network and data from other external forces. The threat for organization’s network and data can be minimized by deploying firewalls. In this paper, an intelligent packet filtering mechanism in a firewall based on Bi-Layer Particle Swarm Optimization has been proposed which minimizes the search space. With the reduced search space, finding a match between the field values of the incoming packet and the rules in the rule set can be done in an effective manner.
KeywordsFirewall Packet filtering Rule set Collective intelligence Particle swarm optimization
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