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Machine Learning for Cyber Security

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Machine Learning for Cyber Security 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.

About This Edition

ISBN: 9783030624620
Publication date:
Author: Xiaofeng Chen
Publisher: Springer Nature Switzerland AG
Format: Paperback
Pagination: 554 pages
Series: Security and Cryptology
Genres: Computer security
Network security
Computer applications in the social and behavioural sciences
Educational equipment and technology, computer-aided learning (CAL)
Machine learning
Network hardware
Systems analysis and design