Machine Learning for Cyber Security : Third International Conference, ML4CS 2020, Guangzhou, China, October 8–10, 2020, Proceedings, Part III / edited by Xiaofeng Chen, Hongyang Yan, Qiben Yan, Xiangliang Zhang

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Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Security and Cryptology ; 12488 | Springer eBook CollectionPublisher: Cham : Springer International Publishing, 2020Publisher: Cham : Imprint: Springer, 2020Edition: 1st ed. 2020Description: 1 Online-Ressource(XV, 554 p. 267 illus., 162 illus. in color.)ISBN:

9783030624637

Subject(s):

Additional physical formats: 9783030624620 | 9783030624644 | Erscheint auch als: 9783030624620 Druck-Ausgabe | Erscheint auch als: 9783030624644 Druck-AusgabeDOI: DOI: 10.1007/978-3-030-62463-7Online resources:

Summary: Machine learning -- Security. Privacy-preserving -- Cyber security -- Adversarial machine Learning -- Malware detection and analysis -- Data mining -- AI.Summary: 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.PPN: PPN: 1741575680Package identifier: Produktsigel: ZDB-2-LNC | ZDB-2-SCS | ZDB-2-SXCS | ZDB-2-SEB | ZDB-2-SEB

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