Machine Learning for Cyber Security (eBook)

Third International Conference, ML4CS 2020, Guangzhou, China, October 8-10, 2020, Proceedings, Part II
Artikelnummer: 978-3-030-62460-6
Einband: PDF
Verfügbarkeit: Download, sofort verfügbar (Link per E-Mail)
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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.

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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VerlagSpringer International Publishing
EinbandPDF
Erscheinungsjahr2020
Seitenangabe608 S.
AusgabekennzeichenEnglisch
AbbildungenXV, 608 p. 246 illus., 181 illus. in color.
Masse66'447 KB
PlattformPDF
ReiheLecture Notes in Computer Science; Security and Cryptology; Computer Science; Computer Science ; Springer Nature Proceedings Computer Science
AutorChen, Xiaofeng (Hrsg.) / Yan, Hongyang (Hrsg.) / Yan, Qiben (Hrsg.) / Zhang, Xiangliang (Hrsg.)

Alle Bände der Reihe "Lecture Notes in Computer Science; Security and Cryptology; Computer Science; Computer Science (R0); Springer Nature Proceedings Computer Science"

Weitere Titel von Xiaofeng (Hrsg.) Chen

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