GitHub / slrbl / malicious-urls-detection-with-autoencoder-neural-networks
Detecting malicious URLs using an autoencoder neural network
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PURL: pkg:github/slrbl/malicious-urls-detection-with-autoencoder-neural-networks
Stars: 37
Forks: 13
Open issues: 0
License: mit
Language: Python
Size: 38.6 MB
Dependencies parsed at:
9
Created at: about 7 years ago
Updated at: almost 2 years ago
Pushed at: over 2 years ago
Last synced at: almost 2 years ago
Topics: anomaly-detection, anomalydetection, autoencoder-neural-network, detect-intrusions, enriched-data, intrusion-detection, malicious-urls-detection, malware-classification, malware-classifier
- keras ==2.8.0
- matplotlib ==3.5.1
- more-itertools ==8.12.0
- numpy ==1.22.3
- pandas ==1.4.1
- ray ==1.11.0
- scikit-learn ==1.0.2
- tensorflow-gpu ==2.8.0
- tqdm ==4.63.1