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Wasan Alaa Hussain

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Open access Aug 2026

An Enhanced Hybrid Deep Learning Model for Anomaly-Based Intrusion Detection in the CICIDS2017 Web Attack Traffic

An enhanced hybrid deep learning architecture that combines one-dimensional convolutional layers, bidirectional long short-term memory units, and a multi-head self-attention mechanism for detecting web attacks in network-flow data is proposed.

Israa Shihab Ahmed, Wasan Alaa Hussain, Z. H. Rasool · 0 citations

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