Cyber Intrusion Detection by Using Deep Neural Networks with Attack-sharing Loss

no code implementations • 17 Mar 2021 • Boxiang Dong, Hui, Wang, Aparna S. Varde, Dawei Li, Bharath K. Samanthula, Weifeng Sun, Liang Zhao

To achieve high detection accuracy on imbalanced data, we design a novel attack-sharing loss function that can effectively move the decision boundary towards the attack classes and eliminates the bias towards the majority/benign class.

General Classification Intrusion Detection