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Search results for jupyter notebook intrusion detection
intrusion-detection
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jupyter-notebook
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13 search results found
Intrusion Detection System Using Machine Learning
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248
Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
Cyber Security
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89
Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities
Intrusion Detection System Using Deep Learning
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60
VGG-19 deep learning model trained using ISCX 2012 IDS Dataset
Intrusion Detection System Using Cnn And Transfer Learning
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54
Code for intrusion detection system (IDS) development using CNN models and transfer learning
Deeplearningmaliciousurls
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40
Machine Learning Models to Detect and Classify Malicious URLs
Intrusion Detection System
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28
IDS monitors a network or systems for malicious activity and protects a computer network from unauthorized access from users,including perhaps insider.
Cic Ids 2018
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16
CSE-CIC-IDS-2018 analyze with Random Forest
Dsu_insure_sp19_ids_prioritization
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10
IDS Alert Prioritization INSuRE Research Project
Maching Learning Cdac Technopark
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6
Maching learning workshop at CDAC, Technopark, Thiruvananthapuram
Pcapae
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6
convGRU based autoencoder for unsupervised & spatial-temporal anomaly detection in computer network traffic
Mangyawaf
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6
A Machine Learning Based Web Application firewall
Intrusion Detection
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5
A tensorflow implementation for "An Improved Transfer learning Approach for Intrusion Detection"
Sparkstreaming Network Anomaly Detection
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5
This repository includes supervised and unsupervised machine learning methods which are used to detect anomalies on network datasets. Decision Tree, Random Forest, Gradient Boost Tree, Naive Bayes, and Logistic Regression were used for supervised learning. K-Means was used for unsupervised learning.
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1-13 of 13 search results
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