Firewall Rule Optimization in Dynamic Multi-Tenant Environments
Keywords:
Reinforcement learning, firewall optimization, multi-tenant environments, cybersecurityAbstract
Rule of firewall administration and optimization become very much difficult because of cloud computing and multi-tenant architectures. Rule based method does not succeed in cloud system because of variable resources, network channels, and traffic patterns. Now for multi-tenant security and efficiency firewall rule uses reinforcement learning that lets network update firewall rule in real time and balancing security and performance. This paper aims to address RL mechanisms firewall management integration and empirical evidence of its usefulness.
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