Encrypted Network Traffic Classification Using Generative and Contrastive Self-Supervised Learning
Network traffic classification is crucial for various applications, encompassing network provisioning, malware detection, and resource management. In contemporary networks, the prevalence of encrypted protocols presents a challenge to existing classification techniques. Deep learning has exhibited promising results in...