nids
There are 0 repository under nids topic.
- testmynids.org
3CORESec / testmynids.org
A website and framework for testing NIDS detection
Language:Shell 149 - Language:Go 73
- Language:Python 65
- Language:Shell 63
- moleLanguage:Go 62
waimorris / E-GraphSAGE
A PyTorch implementation of of E-GraphSAGE.
Language:Jupyter Notebook 58- testmynids.org
0xtf / testmynids.org
A website and framework for testing NIDS detection
Language:Shell 56 zhmhbest / python-nidsdata
这是一个封装了KDDCup99、NSL-KDD、UNSW-NB15等入侵监测数据集的Python包。
Language:Python 39kouzhudong / libdrv
Static Library For Windows Drivers
Language:C++ 31- Language:Python 31
hectorpadin1 / Network-Intrusion-Detection-System
En este proyecto se evalúan y comparan diferentes técnicas de aprendizaje automático para la detección de intrusiones en red.
Language:Jupyter Notebook 22- Language:Jupyter Notebook 22
- Language:Jinja 16
Shaik-Sohail-72 / Network-Intrusion-Detection-Using-Deep-Learning
Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN web I/O System.
Language:EJS 16bazz-066 / aeids-py
AEIDS is a prototype of anomaly-based intrusion detection system which works by remembering the pattern of legitimate network traffic using Autoencoder.
Language:Python 14- kyoushi-environment
ait-aecid / kyoushi-environment
Scripts to deploy virtual testbed for log data analysis and anomaly detection.
Language:Jinja 13 A method for grouping, clustering, and merging semi-structured alerts
Language:Python 12bspwnmaster / Raspberry-Pi-Snort.conf-and-Alerting-Engine
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.
Language:Shell 12h0rv4th / c2matrix-analyzer
Basic c2-matrix analysis enviroment using Suricata + Wazuh + Elastic stack
Language:Shell 12- Language:Python 9
- Language:Python 8
WhiteHatCyberus / Deep-Learning-Evaluation-of-IDS-Datasets
Deep Model Intrusion Detection (IDS) Evaluation of NSL KDD and CIC IDS 2018 datasets.
Language:Jupyter Notebook 8rdpahalavan / nids-datasets
Download UNSW-NB15 and CIC-IDS2017 Datasets for Network Intrusion Detection (NIDS)
Language:Python 7Tag Generation and Text Generation Inference for Network Packets using Transformers
Language:Python 7fredriclesomar / Suricata-IDS-IPS-NSM-engine
Suricata config to apply IDPS mode on Ubuntu 18.04 LTS
shreyansh26 / NIDS-in-an-adversarial-setting
Network Intrusion Detection in an Adversarial setting
Language:Jupyter Notebook 6- Language:Shell 5
georgeani / NIDS_Dissertation_2021
This repository contains my third year dissertation. My dissertation focused in evaluating and creating a DNN for a Network Intrusion Detection System (NIDS).
Language:Jupyter Notebook 5- Language:C 5
Master-Sorcerer / BytesProcessor
This class allows to efficiently convert bigger than memory pcap files to a labeled feature-per-byte dataset in parquet format
Language:Python 5Khaoulahidaawi / NIPDS
Designing and implementing a Packet-Based Intelligent Network phishing Intrusion Detection system. The idea of the design is to use machine learning to classify Network packets to benign and phishing in real-time flow (for both http/https protocol) based on DNS records and domain name features. It operates by using a pre-programmed list of known phishing threat features and their indicators of compromise (IOCs). As a signature based INPDS it will monitor the packets traversing the network, it compares these packets to the database of known IOCs or attack signatures to flag any suspicious behavior.
Language:Jupyter Notebook 4- Language:Python 4
shubhammola / NIDS
Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning, Recurrent Neural Network models, MERN web I/O System.
Language:EJS 4shifamaheen / NIDS
Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN web I/O System.
Language:EJS 3TATU-hacker / NIDS-1D_CNN-GA_PSO
Hyperparameter Optimization for 1D-CNN-Based Network Intrusion Detection Using GA and PSO
Language:Jupyter Notebook 3XingGao-cn / NEGSC
This paper propose a self-supervised graph representing learning method named NEGSC, to identify the types of network intrusion attacks for edge-sensitive net flow traffic.
Language:Jupyter Notebook 3
