Intrusion Detection with HACDT-Net and TRBM-Net Using a Hybrid Deep Learning Framework with Enhanced Sampling Techniques

This repository contains the complete Python implementation for the study “Intrusion Detection with HACDT-Net and TRBM-Net Using a Hybrid Deep Learning Framework with Enhanced Sampling Techniques”. It provides full implementations of HACDT-Net and TRBM-Net evaluated on the public CICIDS2017 and NF-BoT-IoT-v2 datasets, reproducing all reported binary and multi-class results, including performance metrics and confusion matrices. The datasets are publicly available from their official sources and are not included here. This release ensures transparency, reproducibility, and compliance with the journal’s code availability policy.