Entropy-kl-ml: Enhancing the entropy-kl-based anomaly detection on software-defined networks
The Software-Defined Networking (SDN) concept allows network innovations by leveraging
a centralized controller that commands the whole network. The controller manages the …
a centralized controller that commands the whole network. The controller manages the …
A Critical Assessment of Interpretable and Explainable Machine Learning for Intrusion Detection
There has been a large number of studies in interpretable and explainable ML for
cybersecurity, in particular, for intrusion detection. Many of these studies have significant …
cybersecurity, in particular, for intrusion detection. Many of these studies have significant …
A Review of Detecting DDoS Attacks Based on Entropy Computation
The current research examines the global issue of distributed denial of service (DDoS)
attacks and their disruptive effects on internet services around the globe. It focuses on the …
attacks and their disruptive effects on internet services around the globe. It focuses on the …