nids

njcx/RuleCat

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

waimorris/E-GraphSAGE

A PyTorch implementation of of E-GraphSAGE.

H21lab/tsharkVM

tshark + ELK analytics virtual machine

mole-ids/mole

Yara powered NIDS with high speed packet capture powered by PF_RING

sitch-io/sensor

Sensor software

0xtf/testmynids.org

A website and framework for testing NIDS detection

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。

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.

techge/eewids

Easily Expandable Wireless Intrusion Detection System

kouzhudong/libdrv

Static Library For Windows Drivers

waimorris/Anomal-E

A PyTorch implementation of of Anomal-E.

hectorpadin1/Network-Intrusion-Detection-System

En este proyecto se evalúan y comparan diferentes técnicas de aprendizaje automático para la detección de intrusiones en red.

ait-aecid/aecid-alert-aggregation

A method for grouping, clustering, and merging semi-structured alerts

ait-aecid/kyoushi-environment

Scripts to deploy virtual testbed for log data analysis and anomaly detection.

juju4/ansible-zeek

setup zeek, previously Bro IDS

bazz-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.

bspwnmaster/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.

WhiteHatCyberus/Deep-Learning-Evaluation-of-IDS-Datasets

Deep Model Intrusion Detection (IDS) Evaluation of NSL KDD and CIC IDS 2018 datasets.

rdpahalavan/nids-datasets

Download UNSW-NB15 and CIC-IDS2017 Datasets for Network Intrusion Detection (NIDS)

h0rv4th/c2matrix-analyzer

Basic c2-matrix analysis enviroment using Suricata + Wazuh + Elastic stack

MohdSaif-1807/Network-Intrusion-Detection-System-Using-Machine-Learning-and-Deep-Learning

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.

sidallocation/sidallocation.org

conix-security/bl2ru

Mass Suricata rules creator, from a list of domain

rdpahalavan/nids-transformers

Tag Generation and Text Generation Inference for Network Packets using Transformers

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.

TATU-hacker/NIDS-1D_CNN-GA_PSO

Hyperparameter Optimization for 1D-CNN-Based Network Intrusion Detection Using GA and PSO

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).

fredriclesomar/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

BlWasp/SlipNIDS

A script to setup a NIDS on a Raspberry Pi

Central-Cee/-Network-Intrusion-Detection-System-

Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN web I/O System.

Gotti27/2columnS

Firewall and ML-based NIDS developed for Network Security project 2023

Master-Sorcerer/BytesProcessor

This class allows to efficiently convert bigger than memory pcap files to a labeled feature-per-byte dataset in parquet format

Khaoulahidaawi/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.

shifamaheen/NIDS

Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN web I/O System.