Machine Learning for Cyber Security

Discover the cutting-edge of technology with Machine Learning for Cyber Security by Xiaofeng Chen. Published by Springer Nature Switzerland AG in 2020, this comprehensive first edition spans an impressive 650 pages. This book is a collection of the proceedings from the Third International Conference on Machine Learning for Cyber Security (ML4CS 2020), held in Xi’an, China. It features 118 full papers and 40 short papers that have been meticulously reviewed and selected from over 360 submissions. Each paper provides valuable insights into the intersection of machine learning and cyber security, making this volume an essential resource for researchers, practitioners, and anyone interested in the latest advancements in this critical field. Enhance your understanding of cyber security with this essential addition to your library.