A website and framework for testing NIDS detection
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Updated
Jul 26, 2024 - Shell
A website and framework for testing NIDS detection
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 PyTorch implementation of of E-GraphSAGE.
A website and framework for testing NIDS detection
A PyTorch implementation of of Anomal-E.
Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN web I/O System.
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
Home router IDS solution with a Raspberry Pi 3. Dynamically resolves device name, manufacturer, and alerts user of Snort analytics through email or text. Currently handles around 15,000 rules.
AEIDS is a prototype of anomaly-based intrusion detection system which works by remembering the pattern of legitimate network traffic using Autoencoder.
Basic c2-matrix analysis enviroment using Suricata + Wazuh + Elastic stack
Deep Model Intrusion Detection (IDS) Evaluation of NSL KDD and CIC IDS 2018 datasets.
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