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

Contributor(s):

Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Security and Cryptology ; 12486 | Springer eBook CollectionPublisher: Cham : Springer International Publishing, 2020Publisher: Cham : Imprint: Springer, 2020Edition: 1st ed. 2020Description: 1 Online-Ressource(XXVII, 650 p. 282 illus., 183 illus. in color.)ISBN:

9783030622237

Subject(s):

Additional physical formats: 9783030622220 | 9783030622244 | Erscheint auch als: 9783030622220 Druck-Ausgabe | Erscheint auch als: 9783030622244 Druck-AusgabeDOI: DOI: 10.1007/978-3-030-62223-7Online 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: 1741575788Package identifier: Produktsigel: ZDB-2-LNC | ZDB-2-SCS | ZDB-2-SXCS | ZDB-2-SEB | ZDB-2-SEB

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