nsl-kdd

There are 11 repositories under nsl-kdd topic.

vinayakumarr / Network-Intrusion-Detection
Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15
cybersecurity deep-learning intrusion-detection kdd99 machine-learning network-intrusion-detection network-security nsl-kdd unsw-nb15
Language:Python 634
CynthiaKoopman / Network-Intrusion-Detection
Machine Learning with the NSL-KDD dataset for Network Intrusion Detection
nsl-kdd datamining feature-selection network-intrusion-detection intrusion-detection-system machine-learning kdd99 decision-trees random-forest cross-validation
Language:Jupyter Notebook 228
cyber-security
alik604 / cyber-security
Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities
python malware malware-detection unsw-nb15 cyber-security network-intrusion-detection intrusion-detection rainbow-table denial-of-service financial-anomaly-detection kdd kdd99 nsl-kdd unsw pytorch deep-learning ids security anomaly-detection machine-learning
Language:Jupyter Notebook 166
abhinav-bhardwaj / Network-Intrusion-Detection-Using-Machine-Learning
A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach
machine-learning deep-learning nsl-kdd autoencoder svm-classifier mlp-classifier data-science pandas keras statistical-analysis cybersecurity lstm-model cnn-keras network network-security classification supervised-learning intrusion-detection-system
Language:Jupyter Notebook 101
jeremy191 / clustering-based-anomaly-detection
This clustering based anomaly detection project implements unsupervised clustering algorithms on the NSL-KDD and IDS 2017 datasets
nsl-kdd dbscan-algorithm clustering clustering-algorithms lof dataset isolation-forest anaconda kmeans-clustering f1-score min-max-scaler onehot-encoder ids2017 missing-values simple-imputer normalized-mutual-info anomaly-detection score-metrics
Language:Jupyter Notebook 46
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.
concept-drift change-detector drift drift-detection data-stream iot machine-learning lightgbm real-time-analytics online-learning nsl-kdd anomaly-detection intrusion-detection-system bayesian-optimization particle-swarm-optimization random-forest svm xgboost hyperparameter-optimization iot-data-analytics
Language:Jupyter Notebook 46
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。
ids dataset kddcup99 nsl-kdd unsw-nb15 nids
Language:Python 39
InitRoot / NSLKDD-Dataset
NSLKDD Dataset for WEKA
research nsl-kdd-dataset weka dataset nsl-kdd
35
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.
keras autoencoder kdd99 nsl-kdd intrusion-detection machine-learning python
Language:Jupyter Notebook 32
nsl_kdd_classification
PradeepThapa / nsl_kdd_classification
Cyber-attack classification in the network traffic database using NSL-KDD dataset
nsl-kdd classification-algorithm catboost-model cyber-attacks-analytics kdd99 ensemble-machine-learning cyber-attack-classification classification-algorithms kdd-dataset network-traffic-database machine-learning-algorithms attack u2r r2l
Language:Python 23
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.
classification cybersecurity deep-learning detect-anomalies knn machine-learning mern-stack mongodb network network-intrusion-detection nids nodejs nsl-kdd reactjs rnn-model tensorflow
Language:EJS 20
dthongvl / ids-machine-learning
IDS based on Machine Learning technical
ids kmeans-clustering snort latex nsl-kdd
Language:C++ 19
sheatsley / datasets
Scripts for downloading, preprocessing, and numpy-ifying popular machine learning datasets
cic-malmem-2022 cifar-10 datasets fashion-mnist machine-learning mnist nsl-kdd numpy phishing python3 tensorflow-datasets torchvision-datasets unsw-nb15
Language:Python 10
kyuyeonpooh / nsl-kdd-autoencoder
Anomaly IDS using a one-class autoencoder.
nsl-kdd one-class-learning autoencoder anomaly-detection
Language:Jupyter Notebook 9
alik604 / dimensionality-reduction-overview
A comparison between Statistical, Machine Learning, PCA, SVD, and REF methods
machine-learning dimensionality-reduction sklearn pca svd ref feature-elimination ndd-nsl-kdd nsl-kdd-dataset
Language:Jupyter Notebook 7
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.
machine-learning mongodb nodejs classification cybersecurity deep-learning detect-anomalies knn mern-stack network network-intrusion-detection nids nsl-kdd reactjs rnn-model tensorflow
Language:EJS 7
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
network-intrusion-detection nsl-kdd naive-bayes decision-trees random-forest caret r
6
qaixerabbas / network_intrusion_detection
Codes for the paper entitled "Optimization of Predictive Performance of Intrusion Detection System Using Hybrid Ensemble Model for Secure Systems"
cse-cic-ids-2018 deep-learning edge-computing intrusion-detection iot machine-learning nsl-kdd python3 unsw-nb15
Language:Python 6
arindal1 / anomaly-threat-hunter-ml
A Random Forest model that detects network intrusion and anomalies, using the NSL-KDD dataset.
anomaly-detection cybersecurity intrusion-detection-system machine-learning nsl-kdd random-forest
Language:Jupyter Notebook 4
joyeetadey / Intrusion-detection-using-RNN
Detedcting attacks in intrusion detedtion using RNN
anomaly-detection intrusion-detection nsl-kdd deep-learning rnn-tensorflow lstm-neural-networks
Language:Jupyter Notebook 4
marcellorinaldo / SF-SOINN-IDS
A network Intrusion Detection System (IDS) based on Self-Organizing Neural Networks (SOINN).
cybersecurity machine-learning soinn sf-soinn nsl-kdd cic-ids-2017 intrusion-detection-system
Language:Jupyter Notebook 4
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.
classification cybersecurity deep-learning detect-anomalies knn machine-learning mern-stack mongodb network network-intrusion-detection nids nodejs nsl-kdd reactjs rnn-model tensorflow
Language:EJS 4
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.
machine-learning mongodb nodejs deep-learning reactjs tensorflow class cybersecurity network nids knn detect-anomalies mern-stack network-intrusion-detection nsl-kdd rnn-model
Language:Python 3
Namratha2301 / IntrusionDetection
Intrustion Detection Models based on Internet Traffic Data obtained from the NSL-KDD Dataset
decisiontree gradient-boosting intrusion-detection mlp-classifier naive-bayes-classifier nsl-kdd randomforest scikit-learn
Language:Jupyter Notebook 2
oma219 / pacsketch
Network Anomaly Detection Using Probabilistic Data Structures
nsl-kdd sketch hyperloglog minhash
Language:C++ 2
suchetsapre / intrusion-dataset-comparison
An in-depth comparison of two prominent intrusion detection datasets: KDDCup99 and NSL-KDD
intrusion-detection machine-learning principle-component-analysis kddcup99 nsl-kdd
Language:Jupyter Notebook 2
tomas-o-dev / FeatureFilter
Quick Layered Correlation-based Feature Filtering
feature-selection python sklearn fcbf chi-merge binning mdlp nsl-kdd discretization feature-filter fdr-fwe
Language:Python 2
tuanio / autoencoder-anomaly-detection
autoencoder nsl-kdd anomaly-detection
Language:Jupyter Notebook 2
kahramankostas / Multi-class-attack-detection-on-NSL-KDD-dataset-using-TabTransformer
Multi-class attack detection on NSL-KDD dataset using TabTransformer
anomaly-detection deep-learning machine-learning nsl-kdd tabtransformer
Language:Jupyter Notebook 1
hugosousa111 / machine-learning-analyze
Análise de algoritmos de aprendizagem de máquina para identificação de ataques utilizando a base NSL-KDD
nsl-kdd python scikit-learn machine-learning knn svm
Language:Python 0
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.
artificial-intelligence cybersecurity machine-learning network-analysis nsl-kdd python data-science
Language:Python 0
gamalahmed3265 / ACO-Algorithm
this repository for Ant Colony Optimization algorithm works
alogrithms ant-colony-algorithm deep-learning machine-learning metaheuristics nsl-kdd python
Language:Jupyter Notebook
Nithinkumar27 / IBM--comparitive-analysis-of-ML-models
Comparative Analysis of Deep Learning and Machine Learning Models for Network Intrusion Detection
intrusion-detection machine-learning nsl-kdd
Language:Jupyter Notebook
purvit-vashishtha / Ensemble-Methods-on-NSL-KDD
Research Paper on Ensemble Learning on NSL-KDD Dataset
ensemble-learning machine-learning nsl-kdd research-paper
tuanio / nsl_kdd
nsl-kdd
Language:HTML

nsl-kdd

vinayakumarr / Network-Intrusion-Detection

CynthiaKoopman / Network-Intrusion-Detection

alik604 / cyber-security

abhinav-bhardwaj / Network-Intrusion-Detection-Using-Machine-Learning

jeremy191 / clustering-based-anomaly-detection

Western-OC2-Lab / OASW-Concept-Drift-Detection-and-Adaptation

zhmhbest / python-nidsdata

InitRoot / NSLKDD-Dataset

r7sy / IntrusionDetection

PradeepThapa / nsl_kdd_classification

Shaik-Sohail-72 / Network-Intrusion-Detection-Using-Deep-Learning

dthongvl / ids-machine-learning

sheatsley / datasets

kyuyeonpooh / nsl-kdd-autoencoder

alik604 / dimensionality-reduction-overview

shubhammola / NIDS

deepakjayaprakash / Network-Intrusion-Detection

qaixerabbas / network_intrusion_detection

arindal1 / anomaly-threat-hunter-ml

joyeetadey / Intrusion-detection-using-RNN

marcellorinaldo / SF-SOINN-IDS

MohdSaif-1807 / Network-Intrusion-Detection-System-Using-Machine-Learning-and-Deep-Learning

Central-Cee / -Network-Intrusion-Detection-System-

Namratha2301 / IntrusionDetection

oma219 / pacsketch

suchetsapre / intrusion-dataset-comparison

tomas-o-dev / FeatureFilter

tuanio / autoencoder-anomaly-detection

kahramankostas / Multi-class-attack-detection-on-NSL-KDD-dataset-using-TabTransformer

hugosousa111 / machine-learning-analyze

LeoMartinezTAMUK / Anomaly_Instrusion_Predictor

gamalahmed3265 / ACO-Algorithm

Nithinkumar27 / IBM--comparitive-analysis-of-ML-models

purvit-vashishtha / Ensemble-Methods-on-NSL-KDD

tuanio / nsl_kdd