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Ali Qasim

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Open access Jul 2026

Deep Learning-Based Framework for Zero-Day Attack Detection in Encrypted Network Traffic Using Python

A deep learning-based intrusion detection framework that utilizes flow-level statistical features and a hybrid Convolutional Neural Network–Bidirectional Long Short-Term Memory (CNN–BiLSTM) architecture to capture both spatial and temporal characteristics of network traffic is proposed.

H. Hussein, Saad Raad, Ali Qasim · 0 citations