CL-GAN: A GAN-based continual learning model for generating and detecting AGDs.

Yimo Ren,Hong Li,Peipei Liu,Jie Liu,Hongsong Zhu,Limin Sun

Comput. Secur.（2023）

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摘要

•A joint model based on GAN is proposed to generate and detect AGDs.•The paper designs the generator for AGDs based on a T5 model with specifically built prompt noises.•Using knowledge distillation, CL-GAN can continue to learn to generate and detect the AGDs from new DGA families.

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关键词

Network security, Domain generation algorithms, Prompt noises, Generative adversarial nets, Continual learning

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