A botnet detection method for encrypted DNS traffic based on multi-branch knowledge distillation

Key Points

• Botnet detection methods effectively analyze encrypted DNS traffic, boosting network security.
• The approach utilizes knowledge distillation to improve detection accuracy in real-time scenarios.
• By processing encrypted traffic patterns, this method enhances the identification of malicious activities associated with botnets.
• The findings indicate ongoing advancements are needed for robust detection of evolving network threats.