Mark Marrero

Evaluating Dataset Representativeness for Machine Learning-Based Anomaly Detection in Encrypted Network Environments

The increasing prevalence of encrypted network traffic has reduced the effectiveness of traditional intrusion detection methods that rely on payload inspection and signature-based analysis. Machine learning–based anomaly detection offers a promising alternative, but its effectiveness depends heavily on the representati...