Machine Learning for Cyber Security Third International Conference, ML4CS 2020, Guangzhou, China, October 8-10, 2020, Proceedings, Part II
Título:
Machine Learning for Cyber Security Third International Conference, ML4CS 2020, Guangzhou, China, October 8-10, 2020, Proceedings, Part II
ISBN:
9783030624606
Edición:
1st ed. 2020.
PRODUCTION_INFO:
Cham : Springer International Publishing : Imprint: Springer, 2020.
Descripción física:
XV, 608 p. 246 illus., 181 illus. in color. online resource.
Serie:
Security and Cryptology, 12487
Contenido:
Machine learning -- Security. Privacy-preserving -- Cyber security -- Adversarial machine Learning -- Malware detection and analysis -- Data mining -- AI.
Síntesis:
This three volume book set constitutes the proceedings of the Third International Conference on Machine Learning for Cyber Security, ML4CS 2020, held in Xi'an, China in October 2020. The 118 full papers and 40 short papers presented were carefully reviewed and selected from 360 submissions. The papers offer a wide range of the following subjects: Machine learning, security, privacy-preserving, cyber security, Adversarial machine Learning, Malware detection and analysis, Data mining, and Artificial Intelligence.
Término de la materia:
Autor corporativo añadido:
Acceso electrónico:
Full Text Available From Springer Nature Computer Science 2020 Packages
Idioma:
Inglés