A WGAN-Based Method for Generating Malicious Domain Training Data

Author:

Zhang KaixinORCID,Huang BingORCID,Wu YunfengORCID,Chai Chuchu,Zhang JiufaORCID,Bao Zhengjing

Publisher

Springer International Publishing

Reference18 articles.

1. Lecture Notes in Computer Science;E Passerini,2008

2. Martin, A., Soumith, C., Léon, B.: Wasserstein GAN. In: Thirty-Fourth International Conference on Machine Learning, vol. 70, pp. 214–223 (2017)

3. Koh, J.J., Rhodes, B.: Inline detection of domain generation algorithms with context-sensitive word embeddings. In: 2018 IEEE International Conference on Big Data (Big Data), pp. 2966–2971. IEEE (2018)

4. Zhao, H., Chang, Z., Wang, W., Zeng, X.: Malicious domain names detection algorithm based on lexical analysis and feature quantification. IEEE Access 7, 128990–128999 (2019)

5. Cui, J., Shi, L., Li, J., Liu, Z.: An efficient framework for malicious domain name detection. J. Beijing Inst. Technol. 39, 64–67 (2019)

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