Maroš Harahus

Benign-Only Training for Network Intrusion Detection: A Comparative Study of Isolation Forest, One-Class SVM, and Autoencoders

Network intrusion detection remains an important task in communication and information security, especially in scenarios where previously unseen or weakly represented attacks may not be captured by signature-based methods. This paper presents a comparative evaluation of three unsupervised anomaly detection models, name...