network-intrusion-detection
There are 54 repositories under network-intrusion-detection topic.
StamusNetworks/SELKS
A Suricata based IDS/IPS/NSM distro
vinayakumarr/Network-Intrusion-Detection
Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15
StamusNetworks/scirius
Scirius is a web application for Suricata ruleset management and threat hunting.
CynthiaKoopman/Network-Intrusion-Detection
Machine Learning with the NSL-KDD dataset for Network Intrusion Detection
alik604/cyber-security
Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities
abhinav-bhardwaj/IoT-Network-Intrusion-Detection-System-UNSW-NB15
Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset
dimtics/Network-Intrusion-Detection-Using-Machine-Learning-Techniques
Network intrusions classification using algorithms such as Support Vector Machine (SVM), Decision Tree, Naive Baye, K-Nearest Neighbor (KNN), Logistic Regression and Random Forest.
Vatshayan/Network-Intrusion-Detection-Project
Network Intrusion Detection System Project using Machine Learning with code and Documents
racsa-lab/Edge-Detect
Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".
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.
vicky60629/Network-Intrusion-Detection-System
Network Intrusion Detection System
Yasir-ali-farrukh/Payload-Byte
Payload-Byte is a tool for extracting and labeling packet capture (Pcap) files of modern network intrusion detection datasets.
hectorpadin1/Network-Intrusion-Detection-System
En este proyecto se evalúan y comparan diferentes técnicas de aprendizaje automático para la detección de intrusiones en red.
Chandrahas-Soman/Simple_IDS_using_RYU_SDN_controller_and_Machine_Learning
Implemented a network intrusion detection system for a software defined network using Random Forest method for classification of port and flow statistics.
FrazHackz/Network-Intrusion-Detection-System-Deep-Learning
Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)
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.
mansipatel2508/Network-Intrusion-Detection-with-Feature-Extraction-ML
The given information of network connection, model predicts if connection has some intrusion or not. Binary classification for good and bad type of the connection further converting to multi-class classification and most prominent is feature importance analysis.
Yasir-ali-farrukh/GNN4ID
GNN4ID: A Toolset for Crafting Graph Neural Network-Based NIDS Datasets
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.
imharshag/NIDS-using-ML
This project showcases a Network Intrusion Detection System (NIDS) designed to bolster cybersecurity defenses against evolving threats
Anshumank399/Network-Intrusion-Detection-using-Machine-Learning
Assess various ML algorithms on KDD99 network dataset then apply the best algorithm (Random Forest) using R.
deepakjayaprakash/Network-Intrusion-Detection
Analyzes network traffic and tells whether the query is normal or a type of attack. 3 classifiers are built and tested: Naive Bayes, Decision Trees, Random Forests, Followed by a complete visualization of results
shreyansh26/NIDS-in-an-adversarial-setting
Network Intrusion Detection in an Adversarial setting
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.
Master-Sorcerer/BytesProcessor
This class allows to efficiently convert bigger than memory pcap files to a labeled feature-per-byte dataset in parquet format
MrKhan0747/Network-Intrusion-Detection
The aim of the project is to detect the intrusion in network. The dataset link has been mentioned below.
OpenIxia/nas-cloud-demo
Keysight NAS (IXIA) Cloud Demo Examples
ponedo/Network-intrusion-detection-system-based-on-heuristic-downsampling-and-random-forest
WHU毕业设计，基于欠采样-随机森林的入侵检测模型。A simple WHU graduation project. Thank you Wuhan University.
Decode2Code/NIDS
Network Intrusion Detection System using Machine Learning
deepakjayaprakash/Alcatraz
The product is developed as a part of the final year project. It is aimed at providing an architecture and open source code to developers so that they can embed this into their applications to enhance the security. The services provided are top notch and cover the broad spectrum of computer and network security. All the features of the product involve the application of Data Mining and Machine Learning techniques onto the domain of Computer Security.
president-xd/xNIDDY
A python-based Network Intusion Detection System, for every one.
smagnani96/enid
Enhancing Network Intrusion Detection: An Online Methodology for Performance Analysis
yongzhengooi/Sentinel
Machine learning based network intrusion detection system
SyedWaliAbbas/UM-NIDS-Tool
The Unified Multimodal NIDS Dataset Tool performs the standardization of network intrusion detection datasets by extracting comprehensive flow, payload, and contextual features from raw PCAP files, ensuring consistency across datasets and enhancing machine learning-driven threat detection and analysis.