Cyber Security Cryptology And Machine Learning


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Cyber Security, Cryptology, and Machine Learning


Cyber Security, Cryptology, and Machine Learning

Author: Shlomi Dolev

language: en

Publisher: Springer Nature

Release Date: 2024-12-17


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This book constitutes the proceedings of the 8th International Symposium on Cyber Security, Cryptology, and Machine Learning, CSCML 2024, held in Be'er Sheva, Israel, during December 19–20, 2024. The 16 full papers and 11 short papers presented here were carefully reviewed and selected from 43 submissions. These papers focus on the current innovative research developments in the field of cyber security, cryptography, and machine learning systems and networks.

Cyber Security, Cryptology, and Machine Learning


Cyber Security, Cryptology, and Machine Learning

Author: Shlomi Dolev

language: en

Publisher: Springer Nature

Release Date: 2023-06-20


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This book constitutes the refereed proceedings of the 7th International Symposium on Cyber Security, Cryptology, and Machine Learning, CSCML 2023, held in Be'er Sheva, Israel, in June 2023. The 21 full and 15 short papers were carefully reviewed and selected from 70 submissions. They deal with the theory, design, analysis, implementation, and application of cyber security, cryptography and machine learning systems and networks, and conceptually innovative topics in these research areas.

Cyber Security, Cryptology, and Machine Learning


Cyber Security, Cryptology, and Machine Learning

Author: Shlomi Dolev

language: en

Publisher: Springer Nature

Release Date: 2022-06-23


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This book constitutes the refereed proceedings of the 6th International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2022, held in Be'er Sheva, Israel, in June - July 2022. The 24 full and 11 short papers presented together with a keynote paper in this volume were carefully reviewed and selected from 53 submissions. They deal with the theory, design, analysis, implementation, or application of cyber security, cryptography and machine learning systems and networks, and conceptually innovative topics in these research areas.