DTLgan-IDS: deep transfer learning with CGAN for optimized intrusion detection system on IoT networks
An innovative hybrid methodology that tackles three enduring issues in network intrusion detection: feature redundancy, class imbalance, and computational efficiency is presented, which offers a promising solution for real-time threat detection in dynamic network environments while maintaining adaptability to evolving...