# Reference Links

- https://github.com/mitre/caldera?tab=security-ov-file — adversary emulation framework (red-team/blue-team)
- https://github.com/PiyushxJangid/DLHIDS — deep-learning HIDS reference implementation
- https://github.com/ArpanDFrank/Host-Intrusion-Detection-System-using-Hybrid-CNN-LSTM-Models-and-RL-Actor-Critic-Models — Hybrid CNN-LSTM + RL HIDS prior art
- https://ieeexplore.ieee.org/document/9881803 — per-device trust establishment from network behaviour (cited on motivation scene)
- https://pytorch.org/docs/stable/index.html — PyTorch reference (LSTM / GRU / CNN / Transformer module APIs used by the model zoo)
- https://xgboost.readthedocs.io/en/stable/ — XGBoost reference (gradient-boosted-trees baseline; Chen & Guestrin, KDD 2016)
- https://scikit-learn.org/stable/ — scikit-learn reference (KNN, KMeans, PCA, evaluation metrics)
- https://man7.org/linux/man-pages/man5/proc.5.html — proc(5) — the Linux kernel interface this project's telemetry comes from
