Traditional Intrusion Detection Systems (IDSs) provide limited defense against these evolving threats, as they rely on static rules or machine learning (ML) models that lack the capacity for real-time ...

At present, deep learning techniques are widely used for the design of anomaly detection systems as an evolution of machine learning and where one of the most relevant properties is the disablement of ...