Topic: "kdd-dataset"
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
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
AayushNagpal/Intrusion-Detection-System
An Anomaly based Intrusion Detection System: A Robust Machine Learning Approach
Size: 672 KB - Last synced at: almost 2 years ago - Pushed at: almost 8 years ago - Stars: 8 - Forks: 1
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
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
eyabesbes/cybersecurity-AI
Developed an AI-powered intrusion detection system utilizing the KDD dataset, leveraging machine learning techniques to enhance cybersecurity by identifying and classifying malicious network activity.
Language: Jupyter Notebook - Size: 8.03 MB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 1 - Forks: 0
gaurav-borse/anamoly-detection
[Anomaly detection] refers to the process of identifying patterns in data that do not conform to expected behavior. This project aims to develop a machine learning model to predict and identify potential attacks in IoT networks, thus helping to secure these networks from malicious activities.
Language: Jupyter Notebook - Size: 23.4 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
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
