CSNet 23 - A generalizable approach for network flow image representation for deep learning
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Updated
Jul 5, 2023 - Python
CSNet 23 - A generalizable approach for network flow image representation for deep learning
CyberBERT is a deep learning model for network traffic classification, leveraging the DistilBERT architecture. It processes network flow data to classify various types of network traffic, including benign and malicious patterns, with high accuracy.
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