most citedEvaluating Supervised Learning Models for Fraud Detection: A Comparative Study of Classical and Deep Architectures on Imbalanced Transaction Data

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Robust Anomaly Detection in Network Traffic: Evaluating Machine Learning Models on CICIDS2017

Zhaoyang Xu, Yunbo Liu

Identifying suitable machine learning paradigms for intrusion detection remains critical for building effective and generalizable security solutions. In this study, we present a co…