lorenzo9uerra/GraphIDS

A framework for building provenance-based intrusion detection systems with neural networks (KDD'26, USENIX Sec'25)

NIPS — Machine-Learning-Based Network Intrusion Prevention System | Kitsune/LUCID integrated | Online unsupervised anomaly detection | Kernel-level real-time traffic interception | FastAPI + CLI management

Using RL for anomaly detection in NSL-KDD

Advanced Python-based Intrusion Detection System (IDS) featuring a real-time dashboard, GeoIP analysis, email alerts, and firewall integration for network threat monitoring and response.

LID-DS is an intrusion detection data simulation framework.

Slips, a free software behavioral Python intrusion prevention system (IDS/IPS) that uses machine learning to detect malicious behaviors in the network traffic. Stratosphere Laboratory, AIC, FEL, CVUT in Prague.

Official repository for 2025 TKDE survey paper "Deep Graph Anomaly Detection: A Survey and New Perspectives", including diverse types of resources for graph anomaly detection

An All-In-One home intrusion detection system (IDS) solution for the Raspberry PI.