A website and framework for testing NIDS detection
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Updated
Jul 11, 2025 - Shell
A website and framework for testing NIDS detection
A PyTorch implementation of of E-GraphSAGE.
GO开发而成,用于NIDS HIDS 分析的规则引擎,使用WorkerPool 高性能检测,支持多字段 "和" "或" 检测, 支持频率检测
A website and framework for testing NIDS detection
Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN web I/O System.
A real-time, terminal-based network traffic analyzer built with Python, Scapy, and Rich. Captures live packets using multi-threading to display real-time protocol breakdowns and top active IP addresses in a dynamic CLI dashboard.
A PyTorch implementation of of Anomal-E.
Download UNSW-NB15 and CIC-IDS2017 Datasets for Network Intrusion Detection (NIDS)
En este proyecto se evalúan y comparan diferentes técnicas de aprendizaje automático para la detección de intrusiones en red.
Scripts to deploy virtual testbed for log data analysis and anomaly detection.
A method for grouping, clustering, and merging semi-structured alerts
Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN web I/O System. The deployed project link is as follows.
suricata-check is a command line utility to provide feedback on Suricata rules. The tool can detect various issues including those covering syntax validity, interpretability, rule specificity, rule coverage, and efficiency.
Machine Learning-based Intrusion Detection System (IDS) tailored for resource-constrained networks
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