Machine Learning for Cyber Security

Discover the cutting-edge insights in "Machine Learning for Cyber Security," authored by Dan Dongseong Kim and published by Springer Verlag in 2024. This comprehensive volume compiles the proceedings of the esteemed 5th International Conference on Machine Learning for Cyber Security (ML4CS 2023), which took place on the picturesque Yanuca Island, Fiji, from December 4 to 6, 2023. Within its 174 pages, you will find 11 meticulously reviewed papers, showcasing the latest advancements and research in the intersection of machine learning and cybersecurity. These contributions were selected from a competitive pool of 35 submissions, ensuring that you receive only the most relevant and impactful findings in this rapidly evolving field. Enhance your understanding of how machine learning can be leveraged to fortify cyber defenses and protect critical systems. Perfect for researchers, practitioners, and students alike, this book is a must-have for anyone interested in the future of cybersecurity.