Machine Learning for Cyber Security
Machine Learning for Cyber Security [electronic resource] :
edited by Yuan Xu, Hongyang Yan, Huang Teng, Jun Cai, Jin Li.
- 1st ed. 2023.
- Cham Springer Nature Switzerland 2023
- XVII, 691 p. 306 illus., 181 illus. in color. online resource.
The three-volume proceedings set LNCS 13655,13656 and 13657 constitutes the refereed proceedings of the 4th International Conference on Machine Learning for Cyber Security, ML4CS 2022, which taking place during December 2-4, 2022, held in Guangzhou, China. The 100 full papers and 46 short papers were included in these proceedings were carefully reviewed and selected from 367 submissions.
9783031201028
Application software.
Artificial intelligence.
Artificial Intelligence.
Computer and Information Systems Applications.
Computer Engineering and Networks.
Computer Engineering and Networks.
Computer engineering.
Computer networks .
Computer vision.
Computer Vision.
Data and Information Security.
Data protection.
5.8
The three-volume proceedings set LNCS 13655,13656 and 13657 constitutes the refereed proceedings of the 4th International Conference on Machine Learning for Cyber Security, ML4CS 2022, which taking place during December 2-4, 2022, held in Guangzhou, China. The 100 full papers and 46 short papers were included in these proceedings were carefully reviewed and selected from 367 submissions.
9783031201028
Application software.
Artificial intelligence.
Artificial Intelligence.
Computer and Information Systems Applications.
Computer Engineering and Networks.
Computer Engineering and Networks.
Computer engineering.
Computer networks .
Computer vision.
Computer Vision.
Data and Information Security.
Data protection.
5.8