Machine Learning for Cyber Security
Third International Conference, ML4CS 2020, Guangzhou, China, October 8-10, 2020, Proceedings, Part I
Published on 11. November 2020
Book
Paperback/Softback
XXVII, 650 pages
978-3-030-62222-0 (ISBN)
Description
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.
More details
Series
Edition
1st ed. 2020
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
183 farbige Abbildungen, 99 s/w Abbildungen
XXVII, 650 p. 282 illus., 183 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 37 mm
Weight
1013 gr
ISBN-13
978-3-030-62222-0 (9783030622220)
DOI
10.1007/978-3-030-62223-7
Schweitzer Classification
Other editions
Additional editions
Xiaofeng Chen | Hongyang Yan | Qiben Yan
Machine Learning for Cyber Security
Third International Conference, ML4CS 2020, Guangzhou, China, October 8-10, 2020, Proceedings, Part I
E-Book
11/2020
Springer
€96.29
Available for download
Content
Machine learning.- Security. Privacy-preserving.- Cyber security.- Adversarial machine Learning.- Malware detection and analysis.- Data mining.- AI.