1. From throw-away traffic to bots: Detecting the rise of dga-based malware;M Antonakakis;Proceedings of the 21st USENIX Security Symposium,2012
2. A lstm based framework for handling multiclass imbalance in dga botnet detection;D Tran;Neurocomputing,2018
3. Detecting dga botnet based on malware behavior analysis;K Nguyen Quoc;Proceedings of the 11th International Symposium on Information and Communication Technology,2022
4. Charbot: A simple and effective method for evading dga classifiers;J Peck;IEEE Access,2019
5. Phoenix: Dga-based botnet tracking and intelligence;S Schiavoni;International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment,2014