DeepTraffic and cesnet-models
These are **competitors** — both provide pre-trained deep learning models for classifying network traffic, with DeepTraffic offering broader model variety (763 stars vs 22) but CESNET maintaining active distribution (330 monthly downloads vs 0), making them alternative choices depending on whether you prioritize model selection or maintained package availability.
About DeepTraffic
echowei/DeepTraffic
Deep Learning models for network traffic classification
This project helps network security professionals and IT administrators automatically identify different types of network traffic, including encrypted and malware traffic. It takes raw network data or traffic flows as input and classifies them into categories like normal browsing, specific applications, or malicious activity. Network security analysts and incident responders can use this to enhance their monitoring and threat detection capabilities.
About cesnet-models
CESNET/cesnet-models
CESNET Models: Neural networks for network traffic classification
This project offers pre-trained neural networks to automatically identify and categorize different types of network traffic, even when encrypted. It takes raw network data or traffic flows as input and outputs classifications like 'video streaming,' 'gaming,' or 'file transfer.' Network administrators, security analysts, and researchers focused on network behavior would find this useful for monitoring and security.
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