Sánchez-Zas, C.; Larriva-Novo, X.; Villagrá, V.A.; Rodrigo, M.S.; Moreno, J.I.
Design and Evaluation of Unsupervised Machine Learning Models for Anomaly Detection in Streaming Cybersecurity Logs. Mathematics 2022, 10, 4043.
https://doi.org/10.3390/math10214043
AMA Style
Sánchez-Zas C, Larriva-Novo X, Villagrá VA, Rodrigo MS, Moreno JI.
Design and Evaluation of Unsupervised Machine Learning Models for Anomaly Detection in Streaming Cybersecurity Logs. Mathematics. 2022; 10(21):4043.
https://doi.org/10.3390/math10214043
Chicago/Turabian Style
Sánchez-Zas, Carmen, Xavier Larriva-Novo, VÃctor A. Villagrá, Mario Sanz Rodrigo, and José Ignacio Moreno.
2022. "Design and Evaluation of Unsupervised Machine Learning Models for Anomaly Detection in Streaming Cybersecurity Logs" Mathematics 10, no. 21: 4043.
https://doi.org/10.3390/math10214043
APA Style
Sánchez-Zas, C., Larriva-Novo, X., Villagrá, V. A., Rodrigo, M. S., & Moreno, J. I.
(2022). Design and Evaluation of Unsupervised Machine Learning Models for Anomaly Detection in Streaming Cybersecurity Logs. Mathematics, 10(21), 4043.
https://doi.org/10.3390/math10214043