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GitHub topics: kdd99

InitRoot/UNSW_NB15

Feature coded UNSW_NB15 intrusion detection data.

Size: 34 MB - Last synced at: 3 days ago - Pushed at: over 7 years ago - Stars: 87 - Forks: 37

LorysHamadache/kdd99-intrusion-detection

Network intrusion detection using the KDD Cup 1999 dataset. Explores multiple ML models and combines KNN with Random Forest for optimal results.

Size: 13.8 MB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

vinayakumarr/Network-Intrusion-Detection

Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15

Language: Python - Size: 27.3 KB - Last synced at: 2 months ago - Pushed at: about 6 years ago - Stars: 718 - Forks: 241

PENGZhaoqing/kdd99-scikit

Solutions to kdd99 dataset with Decision tree and Neural network by scikit-learn

Language: Python - Size: 6.42 MB - Last synced at: 16 days ago - Pushed at: about 8 years ago - Stars: 58 - Forks: 22

dangnh0611/kdd99_ids

Kdd99 dataset analyzing and some data reproducing experiments with SDN

Language: Jupyter Notebook - Size: 11.3 MB - Last synced at: about 1 month ago - Pushed at: almost 5 years ago - Stars: 10 - Forks: 1

sobazino/ML_KDD_CUP_1999

INTRUSION DETECTOR | ML

Language: Python - Size: 61.5 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

Mohammed-Majid/Clustering_Anomaly_Detection

Unsupervised (Clustering) Anomaly detection on Network Traffic Activity using a dataset from the annual KDD Cup competition

Language: Jupyter Notebook - Size: 99.6 KB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

ray-tracer96024/Anomaly-Detection-Using-Machine-Learning-KDD-CUP-99

Anomaly detection using machine learning

Language: Jupyter Notebook - Size: 591 KB - Last synced at: 10 months ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

YazdanEtedali/SDN_DDoS_Detection_and_Mitigation_System

Artificial Intelligence and Cybersecurity

Language: Jupyter Notebook - Size: 2.33 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

NorbertDDD/KDD-Cup-99-CNN-PyTorch

This is a classification model with five classes (normal, DOS, R2L, U2R,PROBING). Ignore the content features of TCP connection ( columns 10-22 of KDD Cup 99 dataset) when training the model to adapt the project that a kdd99 feature extractor

Language: Python - Size: 22 MB - Last synced at: about 1 year ago - Pushed at: almost 5 years ago - Stars: 28 - Forks: 6

alik604/cyber-security

Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities

Language: Jupyter Notebook - Size: 81.6 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 162 - Forks: 45

niccoboa/IntrusionDetectionKDD99

Intrusion Detection (KDD Cup 1999 Dataset) using Perceptron and Random Forest. UniFi AI final exam.

Language: Python - Size: 175 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

batuhaniskr/ml-intrusion-detection

Intrusion detection using machine learning for KDD 99 dataset

Language: Jupyter Notebook - Size: 2.85 MB - Last synced at: about 1 year ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

Towson-Research/GAN-Balancing-Datasets

COSC 490 Towson University

Language: Jupyter Notebook - Size: 482 MB - Last synced at: 4 days ago - Pushed at: almost 4 years ago - Stars: 8 - Forks: 1

ductaingn/Network-Anomaly-Detection

Network Anomaly Detection Using Deep Neural Network

Language: Python - Size: 5.55 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

404notf0und/Tree-ensemble-Intrusion-Detection-with-KDD99

using machine-learning to detecte instruction

Language: Python - Size: 3.82 MB - Last synced at: about 2 months ago - Pushed at: over 5 years ago - Stars: 28 - Forks: 11

IndexFziQ/ML-ATIC

Abnormal Traffic Identification Classifier based on Machine Learning. My code for undergraduate graduation design.

Language: Java - Size: 45.8 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 26 - Forks: 10

CynthiaKoopman/Network-Intrusion-Detection

Machine Learning with the NSL-KDD dataset for Network Intrusion Detection

Language: Jupyter Notebook - Size: 2.44 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 206 - Forks: 87

ghuecas/kdd99ml

Demo of SciKit ML algorithms using the kdd99 dataset

Language: Python - Size: 11.7 KB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 5

beatabb/Kernel_Based_Machine_Learning-course Fork of Maddi97/kmlmm_kdd

Project for Kernel-Based Machine Learning and Multivariate Modelling course at UPC Barcelona (FIB)

Language: Jupyter Notebook - Size: 21.6 MB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

addievo/intrusionDetection

An Intrusion Detection System (IDS) implemented in Python, which utilizes machine learning techniques and the KDD Cup 1999 dataset to detect and classify network intrusions in real-time.

Language: Python - Size: 4.83 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

timeamagyar/kdd-cup-99-python

Analysis and preprocessing of the kdd cup 99 dataset using python and scikit-learn

Language: Jupyter Notebook - Size: 852 KB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 21 - Forks: 12

PradeepThapa/nsl_kdd_classification

Cyber-attack classification in the network traffic database using NSL-KDD dataset

Language: Python - Size: 3.07 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 15 - Forks: 3

ggulgun/NIDS-Intrusion-Detection

Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN

Language: Python - Size: 16.6 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 58 - Forks: 34

xiaoyu2018/QuantumCnn-NetworkAttackDetection

修改谷歌提供的样例量子卷积神经网络模型,基于KDD99数据集进行训练,实现了网络攻击分类检测。

Language: Python - Size: 54.7 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 17 - Forks: 4

amine177/4nids-data-science-tools 📦

An introductory course to pandas and scikit learn

Language: Jupyter Notebook - Size: 448 KB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 3

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.

Language: Jupyter Notebook - Size: 38.1 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 21 - Forks: 14

concision/kdd-cup-1999-model

A Tensorflow model to detect network intrusions in the KDD Cup 1999 data-set.

Language: Jupyter Notebook - Size: 146 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 2

Youssef-AK/NSL-KDDCup99

Work with NSL-KDD to reach best accuracy

Language: Jupyter Notebook - Size: 10.5 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0

trishac97/Network-Intrusion-Data-Science-Analysis

Size: 4.2 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

YatiVijay/Intrusion-Detection-

A predictive model capable of distinguishing between bad connections and good connections using machine learning.

Language: Jupyter Notebook - Size: 4.85 MB - Last synced at: 16 days ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

AndrewQuijano/Operating_Systems_II

Creating an Intrusion Detection System

Language: Python - Size: 185 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

gau820827/KDD1999

This is the strong baseline in final competition (KDD1999) of NTU Machine Learning 2016 Fall lectured by Hung-Yi Lee

Language: Python - Size: 1.35 MB - Last synced at: over 2 years ago - Pushed at: over 8 years ago - Stars: 4 - Forks: 0

Anshumank399/Network-Intrusion-Detection-using-Machine-Learning

Assess various ML algorithms on KDD99 network dataset then apply the best algorithm (Random Forest) using R.

Language: R - Size: 2.86 MB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 7 - Forks: 5

lucaslrolim/EEL840-KDD-CUP-99

Project developed during Network Security class at Federal University of Rio de Janeiro on spring 2017

Language: Jupyter Notebook - Size: 12 MB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

Related Keywords
kdd99 35 machine-learning 18 intrusion-detection 11 python 8 scikit-learn 7 ids 6 kdd-dataset 5 network-intrusion-detection 5 nsl-kdd 5 anomaly-detection 4 machine-learning-algorithms 3 tensorflow 3 decision-trees 3 svm 3 random-forest 3 data-science 3 intrusion-detection-system 3 unsw-nb15 3 keras 2 jupyter-notebook 2 classification-algorithm 2 mininet 2 security 2 deep-learning 2 cybersecurity 2 one-hot-encode 1 principal-component-analysis 1 resampling-methods 1 normalization 1 sklearn 1 smote 1 matplotlib 1 weka 1 linear-separability 1 convex-hull 1 cluster-centroids 1 random-forest-classifier 1 data 1 ai 1 svm-classifier 1 machinelearning 1 kernelsvm 1 kernel-methods 1 ensamble-methods 1 nsl-kdd-dataset 1 pyspark 1 pca-analysis 1 r-language 1 kddcup99 1 autoencoder 1 pandas 1 neural-network 1 k-means 1 tesorflow-quantum 1 quantum-machine-learning 1 pca 1 knn 1 dimensionality-reduction 1 data-mining-algorithms 1 data-mining 1 u2r 1 r2l 1 network-traffic-database 1 ensemble-machine-learning 1 cyber-attacks-analytics 1 cyber-attack-classification 1 classification-algorithms 1 catboost-model 1 attack 1 standardization 1 pytorch-implementation 1 dnn 1 cnn 1 classifier 1 xgboost-classifier 1 sdn-controller 1 ryu-controller 1 feature-engineering 1 catboost 1 unsupervised-learning 1 network-analysis 1 k-means-clustering 1 algorithms 1 wireshark 1 sdn 1 onos 1 mlp 1 decision-tree 1 confusion-matrix 1 network-security 1 statistics 1 network 1 ml 1 intrusion 1 feature-selection 1 datamining 1 cross-validation 1 netflow 1 decision-tree-classifier 1 abnormal-traffic-identification 1