Cyber Security Intrusion Detection Based on Deep Learning
The Hybrid Autoencoder–TabTransformer framework provides an effective intrusion detection solution that demonstrates strong performance under the evaluated experimental conditions and comparative analysis with existing deep learning‐based intrusion detection approaches confirms the superior and balanced performance of the proposed method.