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Deep Learning for Botnet Detection Evaluation by tpadamati1979 is a document available to read on EtoBox.

What is Deep Learning for Botnet Detection Evaluation about?

This paper evaluates the performance of four deep learning models—CNN, LSTM, hybrid CNN-LSTM, and MLP—for botnet detection using the CTU-13 dataset. The study assesses the models based on various metrics, including accuracy, sensitivity, specificity, precision, and F1 score, highlighting their effectiveness in detecting both known and unknown botnet traffic patterns. The results indicate that deep learning approaches outperform traditional machine learning techniques, addressing the challenges of evolving b

Author

tpadamati1979

Language

EN