Machine Learning for Cyber Security | Third International Conference, ML4CS 2020, Guangzhou, China, October 8-10, 2020, Proceedings, Part I

Xiaofeng Chen (u. a.)

ISBN 10: 3030622223 / ISBN 13: 9783030622220

Published by Springer, 2020

About this Item

Machine Learning for Cyber Security | Third International Conference, ML4CS 2020, Guangzhou, China, October 8-10, 2020, Proceedings, Part I | Xiaofeng Chen (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xxvii | Englisch | 2020 | Springer | EAN 9783030622220 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 118982595

Bibliographic Details

• Title: Machine Learning for Cyber Security | Third International Conference, ML4CS 2020, Guangzhou, China, October 8-10, 2020, Proceedings, Part I
• Publisher: Springer
• Publication Date: 2020
• Language: English
• ISBN 10: 3030622223
• ISBN 13: 9783030622220
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 37D millimeters 235 millimeters width by 155 millimeters height by 37 millimeters depth
• Weight: 1013 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.