Cargando…
Malicious Domain Detection Based on K-means and SMOTE
The Domain Name System (DNS) as the foundation of Internet, has been widely used by cybercriminals. A lot of malicious domain detection methods have received significant success in the past decades. However, existing detection methods usually use classification-based and association-based representa...
Autores principales: | Wang, Qing, Li, Linyu, Jiang, Bo, Lu, Zhigang, Liu, Junrong, Jian, Shijie |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7302825/ http://dx.doi.org/10.1007/978-3-030-50417-5_35 |
Ejemplares similares
-
Melanoma Detection Using XGB Classifier Combined with Feature Extraction and K-Means SMOTE Techniques
por: Chang, Chih-Chi, et al.
Publicado: (2022) -
SMOTE-CD: SMOTE for compositional data
por: Nguyen, Teo, et al.
Publicado: (2023) -
DNS dataset for malicious domains detection
por: Marques, Cláudio, et al.
Publicado: (2021) -
A Malicious Domain Detection Model Based on Improved Deep Learning
por: Huang, XiangDong, et al.
Publicado: (2022) -
An Oversampling Method of Unbalanced Data for Mechanical Fault Diagnosis Based on MeanRadius-SMOTE
por: Duan, Feng, et al.
Publicado: (2022)