Cyber Security, Cryptology, and Machine Learning Cyber Security, Cryptology, and Machine Learning

Cyber Security, Cryptology, and Machine Learning

6th International Symposium, CSCML 2022, Be'er Sheva, Israel, June 30 – July 1, 2022, Proceedings

Shlomi Dolev والمزيد
    • ‏84٫99 US$
    • ‏84٫99 US$

وصف الناشر

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.

النوع
كمبيوتر وإنترنت
تاريخ النشر
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٢٣ يونيو
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
Springer International Publishing
البائع
Springer Nature B.V.
الحجم
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‫م.ب.‬
Information and Communications Security Information and Communications Security
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Cyber Security Cryptography and Machine Learning Cyber Security Cryptography and Machine Learning
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Trusted Systems Trusted Systems
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Cyber Security Cryptography and Machine Learning Cyber Security Cryptography and Machine Learning
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Information Security Information Security
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Information Security and Privacy Information Security and Privacy
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Cyber Security, Cryptology, and Machine Learning Cyber Security, Cryptology, and Machine Learning
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Stabilization, Safety, and Security of Distributed Systems Stabilization, Safety, and Security of Distributed Systems
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Cyber Security, Cryptology, and Machine Learning Cyber Security, Cryptology, and Machine Learning
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Cyber Security Cryptography and Machine Learning Cyber Security Cryptography and Machine Learning
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Cyber Security Cryptography and Machine Learning Cyber Security Cryptography and Machine Learning
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Cyber Security Cryptography and Machine Learning Cyber Security Cryptography and Machine Learning
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