Machine Learning for Cyber Security

Discover the cutting-edge insights in "Machine Learning for Cyber Security," authored by Xiaofeng Chen and published by Springer Nature Switzerland AG. This comprehensive volume, released in 2020, captures the proceedings of the Third International Conference on Machine Learning for Cyber Security (ML4CS 2020) held in Xi’an, China. Spanning 554 pages, this first edition features 118 meticulously reviewed full papers and 40 short papers, all selected from a competitive pool of 360 submissions. Dive into the latest research and applications of machine learning in the realm of cyber security, and enhance your understanding of this critical field. Ideal for researchers, practitioners, and students alike, this book is a valuable addition to any library. Don't miss the opportunity to explore the future of cyber security through the lens of machine learning!