Cyber Security Cryptography and Machine Learning

Discover the cutting-edge insights in Cyber Security Cryptography and Machine Learning by Shlomi Dolev, published by Springer International Publishing AG in 2017. This comprehensive volume, spanning 307 pages, compiles the proceedings from the inaugural International Symposium on Cyber Security Cryptography and Machine Learning, held in Beer-Sheva, Israel.

Inside, you will find 17 full papers and 4 short papers that delve into critical topics such as cyber security, secure software development methodologies, and the formal methods semantics and verification of secure systems. This book is an essential resource for researchers and practitioners looking to enhance their understanding of the intersection between cryptography, machine learning, and cyber security.

Whether you are a student, academic, or industry professional, this first edition serves as a pivotal reference to stay informed about the latest advancements in these rapidly evolving fields.