Machine Learning for Cyber Security [electronic resource] : Third International Conference, ML4CS 2020, Guangzhou, China, October 8-10, 2020, Proceedings, Part III / edited by Xiaofeng Chen, Hongyang Yan, Qiben Yan, Xiangliang Zhang.
Contributor(s): Chen, Xiaofeng [editor.]
| Yan, Hongyang [editor.] | Yan, Qiben [editor.] | Zhang, Xiangliang [editor.] | SpringerLink (Online service).
Material type: 
BookSeries: Security and Cryptology: 12488Publisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: 1st ed. 2020.Description: XV, 554 p. 261 illus., 163 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030624637.Subject(s): Data protection | Social sciences -- Data processing | Education -- Data processing | Machine learning | Computer networks | Computer systems | Data and Information Security | Computer Application in Social and Behavioral Sciences | Computers and Education | Machine Learning | Computer Communication Networks | Computer System ImplementationAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 005.8 Online resources: Click here to access online Machine learning -- Security. Privacy-preserving -- Cyber security -- Adversarial machine Learning -- Malware detection and analysis -- Data mining -- AI.
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.
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