Machine Learning for Cyber Security

Discover the cutting-edge insights in "Machine Learning for Cyber Security" by Xiaofeng Chen, published by Springer Nature Switzerland AG. This comprehensive volume, released in 2020, encompasses the proceedings of the Third International Conference on Machine Learning for Cyber Security (ML4CS 2020) held in Xi’an, China. With a substantial page count of 608, this first edition features 118 full papers and 40 short papers, all meticulously reviewed and selected from an impressive pool of 360 submissions. Dive into the latest research and developments at the intersection of machine learning and cyber security, making this book an essential resource for professionals and researchers alike. Enhance your understanding and stay ahead in the rapidly evolving field of cyber security with this invaluable collection.