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
