EGAO-ICONIDS: Adaptive Container-Aware Cybersecurity Monitoring System for Kubernetes Using Enhanced Feature Selection and Conformer Networks

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In conclusion, employing the suggested EGAO-ICONIDS to identify and monitor threats in Kubernetes is a very efficient method of enhancing the security of containerized applications. Attacks are becoming more likely as Kubernetes becomes increasingly popular for managing and deploying containerized workloads. EGAO-ICONIDS offers a potent method for tracking and evaluating network traffic, enabling extremely detailed and instantaneous insight into the system's behavior. This allows us to identify attacks and notify the system.

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