Topic: nids Goto Github
Some thing interesting about nids
Some thing interesting about nids
nids,A website and framework for testing NIDS detection
User: 0xtf
Home Page: https://testmynids.org
nids,Technical resources and knowledge base for dtection.io
Organization: 3coresec
Home Page: https://dtection.io
nids,A website and framework for testing NIDS detection
Organization: 3coresec
Home Page: https://testmynids.org
nids,A method for grouping, clustering, and merging semi-structured alerts
Organization: ait-aecid
nids,Scripts to deploy virtual testbed for log data analysis and anomaly detection.
Organization: ait-aecid
nids,AEIDS is a prototype of anomaly-based intrusion detection system which works by remembering the pattern of legitimate network traffic using Autoencoder.
User: bazz-066
nids,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.
User: bspwnmaster
nids,The source code for reproductibility of WAIN 2021 paper: Improving detection of scanning attacks on heterogeneous networks with Federated Learning
Organization: c2dc
nids,Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN web I/O System.
User: central-cee
Home Page: https://drive.google.com/file/d/1o76ZBdZ0vIAFx2EHPrKCtG12oNUeEsdu/view?usp=drivesdk
nids,Mass Suricata rules creator, from a list of domain
User: conix-security
nids,NetSniff (Network intrusion detection system) is a real-time network packet sniffer and analyzer built using C.
User: evildevill
Home Page: https://hackerwasii.com
nids,Suricata config to apply IDPS mode on Ubuntu 18.04 LTS
User: fredriclesomar
nids,This repository contains my third year dissertation. My dissertation focused in evaluating and creating a DNN for a Network Intrusion Detection System (NIDS).
User: georgeani
nids,network security monitoring NIDS HIDS CTI DFIR
User: githubfoam
nids,zeek network security monitoring NIDS HIDS
User: githubfoam
nids,Firewall and ML-based NIDS developed for Network Security project 2023
User: gotti27
nids,Basic c2-matrix analysis enviroment using Suricata + Wazuh + Elastic stack
User: h0rv4th
nids,En este proyecto se evalúan y comparan diferentes técnicas de aprendizaje automático para la detección de intrusiones en red.
User: hectorpadin1
nids,Scripts and Notebooks for doing IDS analysis of Zeek/RITA outputs
User: jsutch
nids,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.
User: khaoulahidaawi
nids,Static Library For Windows Drivers
User: kouzhudong
nids,This small repository displays the documentation of Emerging Threats Open Rules Suricata 4
User: lcpdn
Home Page: https://suricata.lcpdn.net
nids,This class allows to efficiently convert bigger than memory pcap files to a labeled feature-per-byte dataset in parquet format
User: master-sorcerer
nids,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.
User: mohdsaif-1807
Home Page: https://nids-system.onrender.com/
nids,Healthcheck packet generator for the AMPT passive network tools monitor
Organization: nids-io
nids,Management service for the AMPT passive network tools monitor
Organization: nids-io
nids,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
User: njcx
nids,Using machine learning with Netflow data, to detect anomalous events on a network. Thus proving the feasibility to prevent zero day attacks with Network Intrusion Dection Systems combined with machine learning. Using a data pipleine with AWS S3, EC2, RDS, Docker, Airflow, Tensorflow and more.
User: owenhiggins
nids,Download UNSW-NB15 and CIC-IDS2017 Datasets for Network Intrusion Detection (NIDS)
User: rdpahalavan
Home Page: https://pypi.org/project/nids-datasets/
nids,Tag Generation and Text Generation Inference for Network Packets using Transformers
User: rdpahalavan
Home Page: https://pypi.org/project/nids-transformers/
nids, Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN web I/O System.
User: shaik-sohail-72
Home Page: https://drive.google.com/file/d/1o76ZBdZ0vIAFx2EHPrKCtG12oNUeEsdu/view?usp=drivesdk
nids,Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN web I/O System.
User: shifamaheen
Home Page: https://drive.google.com/file/d/1o76ZBdZ0vIAFx2EHPrKCtG12oNUeEsdu/view?usp=drivesdk
nids,Network Intrusion Detection in an Adversarial setting
User: shreyansh26
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.
User: shubhammola
Home Page: https://drive.google.com/file/d/1o76ZBdZ0vIAFx2EHPrKCtG12oNUeEsdu/view?usp=drivesdk
nids,
Organization: sidallocation
Home Page: https://sidallocation.org
nids,Hyperparameter Optimization for 1D-CNN-Based Network Intrusion Detection Using GA and PSO
User: tatu-hacker
Home Page: https://www.mdpi.com/2227-7390/11/17/3724
nids,A PyTorch implementation of of Anomal-E.
User: waimorris
nids,A PyTorch implementation of of E-GraphSAGE.
User: waimorris
nids,Deep Model Intrusion Detection (IDS) Evaluation of NSL KDD and CIC IDS 2018 datasets.
User: whitehatcyberus
nids,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.
User: xinggao-cn
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.