GitHub / abhinav-bhardwaj / IoT-Network-Intrusion-Detection-System-UNSW-NB15
Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset
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PURL: pkg:github/abhinav-bhardwaj/IoT-Network-Intrusion-Detection-System-UNSW-NB15
Stars: 43
Forks: 23
Open issues: 1
License: mit
Language: Jupyter Notebook
Size: 24.5 MB
Dependencies parsed at: Pending
Created at: almost 4 years ago
Updated at: over 2 years ago
Pushed at: almost 4 years ago
Last synced at: over 2 years ago
Topics: classification, cybersecurity, decision-tree-classifier, deep-learning, iot, iot-security, keras, knn, linear-regression, logistic-regression, machine-learning, mlp-classifier, multilayer-perceptron, network-intrusion-detection, network-security, random-forest, supervised-learning, svm-classifier, tensorflow, unsw-nb15