nsl-kdd
There are 37 repositories under nsl-kdd topic.
vinayakumarr/Network-Intrusion-Detection
Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15
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/Network-Intrusion-Detection-Using-Machine-Learning
A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach
jeremy191/clustering-based-anomaly-detection
This clustering based anomaly detection project implements unsupervised clustering algorithms on the NSL-KDD and IDS 2017 datasets
Western-OC2-Lab/OASW-Concept-Drift-Detection-and-Adaptation
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.
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.
InitRoot/NSLKDD-Dataset
NSLKDD Dataset for WEKA
r7sy/IntrusionDetection
This repository contains a notebook implementing an autoencoder based approach for intrusion detection, the full documentation of the study will be available shortly.
PradeepThapa/nsl_kdd_classification
Cyber-attack classification in the network traffic database using NSL-KDD dataset
dthongvl/ids-machine-learning
IDS based on Machine Learning technical
qaixerabbas/network_intrusion_detection
Codes for the paper entitled "Optimization of Predictive Performance of Intrusion Detection System Using Hybrid Ensemble Model for Secure Systems"
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.
kyuyeonpooh/nsl-kdd-autoencoder
Anomaly IDS using a one-class autoencoder.
sheatsley/datasets
Scripts for downloading, preprocessing, and numpy-ifying popular machine learning 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
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
alik604/dimensionality-reduction-overview
A comparison between Statistical, Machine Learning, PCA, SVD, and REF methods
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.
joyeetadey/Intrusion-detection-using-RNN
Detedcting attacks in intrusion detedtion using RNN
marcellorinaldo/SF-SOINN-IDS
A network Intrusion Detection System (IDS) based on Self-Organizing Neural Networks (SOINN).
arindal1/anomaly-threat-hunter-ml
A Random Forest model that detects network intrusion and anomalies, using the NSL-KDD dataset.
kahramankostas/Multi-class-attack-detection-on-NSL-KDD-dataset-using-TabTransformer
Multi-class attack detection on NSL-KDD dataset using TabTransformer
Namratha2301/IntrusionDetection
Intrustion Detection Models based on Internet Traffic Data obtained from the NSL-KDD Dataset
oma219/pacsketch
Network Anomaly Detection Using Probabilistic Data Structures
suchetsapre/intrusion-dataset-comparison
An in-depth comparison of two prominent intrusion detection datasets: KDDCup99 and NSL-KDD
tomas-o-dev/FeatureFilter
Quick Layered Correlation-based Feature Filtering
Ate329/NSL-KDD-feature-extractor
Python-based tool designed to process network traffic packets and extract features compliant with the NSL-KDD dataset format.
LeoMartinezTAMUK/Anomaly_Instrusion_Predictor
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.
Nithinkumar27/IBM--comparitive-analysis-of-ML-models
Comparative Analysis of Deep Learning and Machine Learning Models for Network Intrusion Detection
gamalahmed3265/ACO-Algorithm
this repository for Ant Colony Optimization algorithm works
purvit-vashishtha/Ensemble-Methods-on-NSL-KDD
Research Paper on Ensemble Learning on NSL-KDD Dataset