Sarah Yasmin Yuszairulakhbar

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...