Syndetics cover image
Image from Syndetics

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

Contributor(s): Material type: TextSeries: Security and Cryptology ; 12487Publisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: 1st ed. 2020Description: 1 online resource (XV, 608 p. 246 illus.). 181 illus. in colorContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783030624606
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 005.8 23
LOC classification:
  • QA76.9.A25
Online resources:
Contents:
Machine learning -- Security. Privacy-preserving -- Cyber security -- Adversarial machine Learning -- Malware detection and analysis -- Data mining -- AI.
In: Springer Nature eBookSummary: 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.
No physical items for this record

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.

Print version record.

Licensed e-book