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A Machine Learning-Based Botnet Malicious Domain Detection Technique for New Business
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作者 aohan mei Zekun Chen +1 位作者 Jing Zhao Dequan Yang 《国际计算机前沿大会会议论文集》 EI 2023年第2期191-201,共11页
In the new network business,the danger of botnets should not be underestimated.Botnets often generatemalicious domain names through DGAs to enable communication with command and control servers(C&C)and then receiv... In the new network business,the danger of botnets should not be underestimated.Botnets often generatemalicious domain names through DGAs to enable communication with command and control servers(C&C)and then receive commands from the botmaster,carrying out further attack activities.Therefore,a system based onmachine learning to dichotomizeDNSdomain access is designed,which can instantly detectDGAdomain names and thus quickly dispose of infected computers to avoid spreading the virus and further damage.In the comparison,the bidirectional LSTM model slightly outperformed the unidirectional LSTM network and achieved 99%accuracy in the open dataset classification task. 展开更多
关键词 BOTNET Machine Learning LSTM Domain Generation Algorithm Detection
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