A Suricata based IDS/IPS/NSM distro
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Updated
Aug 12, 2024 - Shell
A Suricata based IDS/IPS/NSM distro
Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15
Scirius is a web application for Suricata ruleset management and threat hunting.
Machine Learning with the NSL-KDD dataset for Network Intrusion Detection
Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities
Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset
Network intrusions classification using algorithms such as Support Vector Machine (SVM), Decision Tree, Naive Baye, K-Nearest Neighbor (KNN), Logistic Regression and Random Forest.
Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".
Network Intrusion Detection System Project using Machine Learning with code and Documents
Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN web I/O System.
Network Intrusion Detection System
En este proyecto se evalúan y comparan diferentes técnicas de aprendizaje automático para la detección de intrusiones en red.
Payload-Byte is a tool for extracting and labeling packet capture (Pcap) files of modern network intrusion detection datasets.
Implemented a network intrusion detection system for a software defined network using Random Forest method for classification of port and flow statistics.
Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)
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.
Assess various ML algorithms on KDD99 network dataset then apply the best algorithm (Random Forest) using R.
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.
This project showcases a Network Intrusion Detection System (NIDS) designed to bolster cybersecurity defenses against evolving threats
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