Cyber Security Cryptography And Machine Learning


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Cyber Security Cryptography and Machine Learning


Cyber Security Cryptography and Machine Learning

Author: Shlomi Dolev

language: en

Publisher: Springer Nature

Release Date: 2020-06-25


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This book constitutes the refereed proceedings of the Fourth International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2020, held in Be'er Sheva, Israel, in July 2020. The 12 full and 4 short papers presented in this volume were carefully reviewed and selected from 38 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.

Cyber Security Cryptography and Machine Learning


Cyber Security Cryptography and Machine Learning

Author: Itai Dinur

language: en

Publisher: Springer

Release Date: 2018-06-16


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This book constitutes the refereed proceedings of the Second International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2018, held in Beer-Sheva, Israel, in June 2018. The 16 full and 6 short papers presented in this volume were carefully reviewed and selected from 44 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 the scope.

Cyber Security Cryptography and Machine Learning


Cyber Security Cryptography and Machine Learning

Author: Shlomi Dolev

language: en

Publisher: Springer

Release Date: 2019-06-17


DOWNLOAD





This book constitutes the refereed proceedings of the Third International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2019, held in Beer-Sheva, Israel, in June 2019. The 18 full and 10 short papers presented in this volume were carefully reviewed and selected from 36 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.