BotDetector: a system for identifying DGA-based botnet with CNN-LSTM
Author:
Funder
Natural Science Foundation of Shandong Province
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11235-023-01073-7.pdf
Reference47 articles.
1. Singh, M., Singh, M., & Kaur, S. (2019). Issues and challenges in DNS based botnet detection: A survey. Computers & Security, 86, 28–52.
2. Patsakis, C., Casino, F., & Katos, V. (2020). Encrypted and covert DNS queries for botnets: Challenges and countermeasures. Computers & Security, 88, 101614.
3. Patsakis, C., & Casino, F. (2021). Exploiting statistical and structural features for the detection of domain generation algorithms. Journal of Information Security and Applications, 58, 102725.
4. Namgung, J., Son, S., & Moon, Y.-S. (2021). Efficient deep learning models for DGA domain detection. Security and Communication Networks, 2021, 1–15.
5. Al-Duwairi, B., Jarrah, M., & Shatnawi, A. S. (2021). PASSVM: A highly accurate fast flux detection system. Computers & Security, 110, 102431.
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