TAO-Net: A Novel Approach to Classifying Encrypted Traffic

This research paper introduces TAO-Net, a new two-stage network designed for classifying encrypted network traffic. The focus on 'Out-of-Distribution' (OOD) detection suggests a push to improve classification accuracy and robustness against unseen or evolving traffic patterns.

• •TAO-Net is a two-stage network designed for encrypted traffic classification.
• •The architecture emphasizes Out-of-Distribution (OOD) detection.
• •The research aims for fine-grained classification accuracy.