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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...
Gorde:
| Argitaratua izan da: | J Adv Res |
|---|---|
| Egile Nagusiak: | , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Elsevier
2014
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4294760/ https://ncbi.nlm.nih.gov/pubmed/25685511 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jare.2014.01.001 |
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