AI-Based Network Intrusion Detection System Enhances Cybersecurity

An AI-based Network Intrusion Detection System utilizing Generative Adversarial Networks (GANs) has been developed to improve cybersecurity by detecting cyber threats in network traffic. This system addresses the limitations of traditional systems by generating synthetic attack data to balance datasets, achieving a detection accuracy rate of 96.2%. It is applicable in various sectors, including banking and IT, for real-time monitoring and enhanced security.