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 in 2019. This comprehensive volume encompasses the proceedings of the Second International Conference on Machine Learning for Cyber Security (ML4CS 2019), held in Xi’an, China. With a total of 398 pages, this book features 23 meticulously revised full papers and 3 short papers, all selected from an impressive pool of 70 submissions. Delve into the latest research and advancements in the intersection of machine learning and cyber security, making it an essential read for professionals and researchers in the field. Enhance your understanding of how machine learning can be leveraged to bolster cyber security measures and protect against evolving threats.