A Classification Method Based on CNN-BiLSTM for Difficult Detecting DGA Domain Name-Reference-Cited by-同舟云学术

A Classification Method Based on CNN-BiLSTM for Difficult Detecting DGA Domain Name

Published:2023-07-14 Issue: Volume: Page:
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Container-title:2023 IEEE 13th International Conference on Electronics Information and Emergency Communication (ICEIEC)
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Author:

Wang Yu¹,Pan Rui²,Wang Zuchao¹,Li Lingqi³

Affiliation:

1. School of Science, China University of Geosciences (Beijing),Beijing,China,100083

2. China Academy of Information and Communications Technology,Beijing,China,100191

3. Liaoning Technical University,Huludao,Liaoning Province,China,125105

Publisher

IEEE

Link

Reference11 articles.

2. DGA malicious domain name detection method based on fusion of CNN and LSTM;xu;Netinfo Security,2021

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

2. Integrating Multi-Dimensional Data for Advanced Domain Name Classification;2024 4th International Conference on Computer Communication and Artificial Intelligence (CCAI);2024-05-24

4. Classification of Malicious DGA Domain Name Families Based on BiGRU and Attention Mechanisms;2023 IEEE 11th Joint International Information Technology and Artificial Intelligence Conference (ITAIC);2023-12-08