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Unsupervised, low latency anomaly detection of algorithmically generated domain names by generative probabilistic modeling
We propose a method for detecting anomalous domain names, with focus on algorithmically generated domain names which are frequently associated with malicious activities such as fast flux service networks, particularly for bot networks (or botnets), malware, and phishing. Our method is based on learn...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2014
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4294760/ https://www.ncbi.nlm.nih.gov/pubmed/25685511 http://dx.doi.org/10.1016/j.jare.2014.01.001 |