GitHub / Swap-Nova / CyberAttack-Detection
Cyberattack Detection for network traffic using Neural networks. Implemented gradient descent-based method to generate adversarial samples against supervised learning models.
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PURL: pkg:github/Swap-Nova/CyberAttack-Detection
Stars: 0
Forks: 1
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 29.2 MB
Dependencies parsed at: Pending
Created at: over 2 years ago
Updated at: over 2 years ago
Pushed at: over 2 years ago
Last synced at: about 2 years ago
Topics: artificial-neural-networks, cnn-classification, gradient-descent-algorithm, kmeans-clustering-algorithm, machine-learning, random-forest-classifier, unsupervised-machine-learning