A website and framework for testing NIDS detection
-
Updated
Sep 28, 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
Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN web I/O System.
A PyTorch implementation of of Anomal-E.
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.
Deep Model Intrusion Detection (IDS) Evaluation of NSL KDD and CIC IDS 2018 datasets.
Download UNSW-NB15 and CIC-IDS2017 Datasets for Network Intrusion Detection (NIDS)
Add a description, image, and links to the nids topic page so that developers can more easily learn about it.
To associate your repository with the nids topic, visit your repo's landing page and select "manage topics."