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January 28, 2026Computer Networks

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

Z. H. Qin Hanbing Yan Xiangyu Li Chao Li

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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.

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Implication

Observational analysis identifies botnets in encrypted DNS traffic, suggesting enhanced cybersecurity measures.

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Cite This Study

Qin et al. (2026) studied this question.

synapsesocial.com/papers/69a75ceec6e9836116a2637b https://doi.org/10.1016/j.comnet.2026.112060

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