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Yusnita Sokman

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Open access 2026

Large-Scale Binary Network Intrusion Classification Using a 1D Convolutional Neural Network on CSE-CIC-IDS2018: Performance Evaluation and Methodological Audit

Deep learning is increasingly applied to network intrusion detection because it can learn discriminative representations from high-dimensional flow records. This study evaluates a one-dimensional convolutional neural network (1D-CNN) for binary classification of benign and malicious traffic using CSE-CIC-IDS2018 and si...

Sarah Yasmin Yuszairulakhbar, Ahmad Kamalrulzaman Othman, Yusnita Sokman · 0 citations

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