The following program is capable of analyzing network traffic with multiple different machine learning (ML) and feature selection algorithms to determine whether or not it is malicious.
-
Updated
Jun 18, 2024 - Python
The following program is capable of analyzing network traffic with multiple different machine learning (ML) and feature selection algorithms to determine whether or not it is malicious.
This project showcases a Network Intrusion Detection System (NIDS) designed to bolster cybersecurity defenses against evolving threats
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.
Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities
Scripts for downloading, preprocessing, and numpy-ifying popular machine learning datasets
Multi-class attack detection on NSL-KDD dataset using TabTransformer
Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning, Recurrent Neural Network models, MERN web I/O System.
An online learning method used to address concept drift and model drift. Code for the paper entitled "A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams" published in IEEE Internet of Things Magazine.
Comparative Analysis of Deep Learning and Machine Learning Models for Network Intrusion Detection
A Random Forest model that detects network intrusion and anomalies, using the NSL-KDD dataset.
Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN web I/O System.
this repository for Ant Colony Optimization algorithm works
Codes for the paper entitled "Optimization of Predictive Performance of Intrusion Detection System Using Hybrid Ensemble Model for Secure Systems"
Quick Layered Correlation-based Feature Filtering
Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN web I/O System.
Intrustion Detection Models based on Internet Traffic Data obtained from the NSL-KDD Dataset
Research Paper on Ensemble Learning on NSL-KDD Dataset
Detedcting attacks in intrusion detedtion using RNN
A comparison between Statistical, Machine Learning, PCA, SVD, and REF methods
Add a description, image, and links to the nsl-kdd topic page so that developers can more easily learn about it.
To associate your repository with the nsl-kdd topic, visit your repo's landing page and select "manage topics."