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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.
SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online
View online- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Security and cryptology ; SL 4, 12486
- Security and Cryptology ; 12486
- Language:
- English
- Subjects (All):
- Data protection.
- Social sciences-Data processing.
- Education-Data processing.
- Computers and civilization.
- Cryptography.
- Data encryption (Computer science).
- Data and Information Security.
- Computer Application in Social and Behavioral Sciences.
- Computers and Education.
- Computers and Society.
- Cryptology.
- Security Services.
- Local Subjects:
- Data and Information Security.
- Computer Application in Social and Behavioral Sciences.
- Computers and Education.
- Computers and Society.
- Cryptology.
- Security Services.
- Physical Description:
- 1 online resource (XXVII, 650 pages) : 282 illustrations, 183 illustrations in color.
- Edition:
- 1st edition 2020.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2020.
- System Details:
- text file PDF
- 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.
- Contents:
- Machine learning
- Security. Privacy-preserving
- Cyber security
- Adversarial machine Learning
- Malware detection and analysis
- Data mining
- AI.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-62223-7
- 9783030622237
- Access Restriction:
- Restricted for use by site license.
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