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Cyber Security Cryptography and Machine Learning

2020-06-25 Computers
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Release : 2020-06-25
Genre : Computers
Kind : eBook
Book Rating : 852/5 ( reviews)

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Book Synopsis Cyber Security Cryptography and Machine Learning by : Shlomi Dolev

Download or read book Cyber Security Cryptography and Machine Learning written by Shlomi Dolev. This book was released on 2020-06-25. Available in PDF, EPUB and Kindle. Book excerpt: 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

2021-07-01 Computers
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Release : 2021-07-01
Genre : Computers
Kind : eBook
Book Rating : 864/5 ( reviews)

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Book Synopsis Cyber Security Cryptography and Machine Learning by : Shlomi Dolev

Download or read book Cyber Security Cryptography and Machine Learning written by Shlomi Dolev. This book was released on 2021-07-01. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2021, held in Be'er Sheva, Israel, in July 2021. The 22 full and 13 short papers presented together with a keynote paper in this volume were carefully reviewed and selected from 48 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.

Innovative Machine Learning Applications for Cryptography

2024-03-04 Computers
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Release : 2024-03-04
Genre : Computers
Kind : eBook
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Book Synopsis Innovative Machine Learning Applications for Cryptography by : Ruth, J. Anitha

Download or read book Innovative Machine Learning Applications for Cryptography written by Ruth, J. Anitha. This book was released on 2024-03-04. Available in PDF, EPUB and Kindle. Book excerpt: Data security is paramount in our modern world, and the symbiotic relationship between machine learning and cryptography has recently taken center stage. The vulnerability of traditional cryptosystems to human error and evolving cyber threats is a pressing concern. The stakes are higher than ever, and the need for innovative solutions to safeguard sensitive information is undeniable. Innovative Machine Learning Applications for Cryptography emerges as a steadfast resource in this landscape of uncertainty. Machine learning's prowess in scrutinizing data trends, identifying vulnerabilities, and constructing adaptive analytical models offers a compelling solution. The book explores how machine learning can automate the process of constructing analytical models, providing a continuous learning mechanism to protect against an ever-increasing influx of data. This book goes beyond theoretical exploration, and provides a comprehensive resource designed to empower academic scholars, specialists, and students in the fields of cryptography, machine learning, and network security. Its broad scope encompasses encryption, algorithms, security, and more unconventional topics like Quantum Cryptography, Biological Cryptography, and Neural Cryptography. By examining data patterns and identifying vulnerabilities, it equips its readers with actionable insights and strategies that can protect organizations from the dire consequences of security breaches.

Cyber Security, Cryptology, and Machine Learning

2022-06-23 Computers
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Release : 2022-06-23
Genre : Computers
Kind : eBook
Book Rating : 893/5 ( reviews)

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Book Synopsis Cyber Security, Cryptology, and Machine Learning by : Shlomi Dolev

Download or read book Cyber Security, Cryptology, and Machine Learning written by Shlomi Dolev. This book was released on 2022-06-23. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Machine Learning and Cryptographic Solutions for Data Protection and Network Security

2024-05-31 Computers
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Release : 2024-05-31
Genre : Computers
Kind : eBook
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Book Synopsis Machine Learning and Cryptographic Solutions for Data Protection and Network Security by : Ruth, J. Anitha

Download or read book Machine Learning and Cryptographic Solutions for Data Protection and Network Security written by Ruth, J. Anitha. This book was released on 2024-05-31. Available in PDF, EPUB and Kindle. Book excerpt: In the relentless battle against escalating cyber threats, data security faces a critical challenge – the need for innovative solutions to fortify encryption and decryption processes. The increasing frequency and complexity of cyber-attacks demand a dynamic approach, and this is where the intersection of cryptography and machine learning emerges as a powerful ally. As hackers become more adept at exploiting vulnerabilities, the book stands as a beacon of insight, addressing the urgent need to leverage machine learning techniques in cryptography. Machine Learning and Cryptographic Solutions for Data Protection and Network Security unveil the intricate relationship between data security and machine learning and provide a roadmap for implementing these cutting-edge techniques in the field. The book equips specialists, academics, and students in cryptography, machine learning, and network security with the tools to enhance encryption and decryption procedures by offering theoretical frameworks and the latest empirical research findings. Its pages unfold a narrative of collaboration and cross-pollination of ideas, showcasing how machine learning can be harnessed to sift through vast datasets, identify network weak points, and predict future cyber threats.

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