Detecting DGA domains with recurrent neural networks and side information
作者： Slawomir Grzonkowski , Alejandro Mosquera , Andrew B. Gardner , Ryan R. Curtin , Alexey Kleymenov
DOI:
关键词: Recurrent neural network 、 Malware 、 Task (project management) 、 Computer science 、 Blocking (computing) 、 Machine learning 、 State (computer science) 、 Domain (software engineering) 、 Endpoint security 、 Artificial intelligence
摘要: Modern malware typically makes use of a domain generation algorithm (DGA) to avoid command and control domains or IPs being seized or sinkholed. This means that an infected …
arxiv.org
acm.org参考文章(44)
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