Cyber Security Cryptology And Machine Learning

Author : Shlomi Dolev
Publisher : Springer Nature
ISBN 13 : 3031346718
Total Pages : 539 pages
Book Rating : 4.12/5 ( download)

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Download or read book Cyber Security, Cryptology, and Machine Learning written by Shlomi Dolev and published by Springer Nature. This book was released on 2023-06-20 with total page 539 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Shlomi Dolev
Publisher : Springer Nature
ISBN 13 : 3031076893
Total Pages : 522 pages
Book Rating : 4.93/5 ( download)

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Download or read book Cyber Security, Cryptology, and Machine Learning written by Shlomi Dolev and published by Springer Nature. This book was released on 2022-06-23 with total page 522 pages. 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.

Author : Shlomi Dolev
Publisher : Springer Nature
ISBN 13 : 3030780864
Total Pages : 506 pages
Book Rating : 4.69/5 ( download)

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Download or read book Cyber Security Cryptography and Machine Learning written by Shlomi Dolev and published by Springer Nature. This book was released on 2021-07-01 with total page 506 pages. 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.

Author : Shlomi Dolev
Publisher : Springer
ISBN 13 : 3030209512
Total Pages : 330 pages
Book Rating : 4.13/5 ( download)

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Download or read book Cyber Security Cryptography and Machine Learning written by Shlomi Dolev and published by Springer. This book was released on 2019-06-17 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Xiaofeng Chen
Publisher : Springer Nature
ISBN 13 : 9813367261
Total Pages : 168 pages
Book Rating : 4.65/5 ( download)

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Download or read book Cyber Security Meets Machine Learning written by Xiaofeng Chen and published by Springer Nature. This book was released on 2021-07-02 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning boosts the capabilities of security solutions in the modern cyber environment. However, there are also security concerns associated with machine learning models and approaches: the vulnerability of machine learning models to adversarial attacks is a fatal flaw in the artificial intelligence technologies, and the privacy of the data used in the training and testing periods is also causing increasing concern among users. This book reviews the latest research in the area, including effective applications of machine learning methods in cybersecurity solutions and the urgent security risks related to the machine learning models. The book is divided into three parts: Cyber Security Based on Machine Learning; Security in Machine Learning Methods and Systems; and Security and Privacy in Outsourced Machine Learning. Addressing hot topics in cybersecurity and written by leading researchers in the field, the book features self-contained chapters to allow readers to select topics that are relevant to their needs. It is a valuable resource for all those interested in cybersecurity and robust machine learning, including graduate students and academic and industrial researchers, wanting to gain insights into cutting-edge research topics, as well as related tools and inspiring innovations.

Author : Atul Chaturvedi
Publisher : Springer Nature
ISBN 13 : 9819706416
Total Pages : 881 pages
Book Rating : 4.19/5 ( download)

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Download or read book Cryptology and Network Security with Machine Learning written by Atul Chaturvedi and published by Springer Nature. This book was released on with total page 881 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Shlomi Dolev
Publisher : Springer Nature
ISBN 13 : 3030497852
Total Pages : 265 pages
Book Rating : 4.59/5 ( download)

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Download or read book Cyber Security Cryptography and Machine Learning written by Shlomi Dolev and published by Springer Nature. This book was released on 2020-06-25 with total page 265 pages. 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.

Author : Ruth, J. Anitha
Publisher : IGI Global
ISBN 13 :
Total Pages : 313 pages
Book Rating : 4.36/5 ( download)

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Download or read book Innovative Machine Learning Applications for Cryptography written by Ruth, J. Anitha and published by IGI Global. This book was released on 2024-03-04 with total page 313 pages. 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.

Author : Sanjay Misra
Publisher : Springer Nature
ISBN 13 : 3030722368
Total Pages : 467 pages
Book Rating : 4.64/5 ( download)

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Download or read book Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities written by Sanjay Misra and published by Springer Nature. This book was released on 2021-05-31 with total page 467 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides stepwise discussion, exhaustive literature review, detailed analysis and discussion, rigorous experimentation results (using several analytics tools), and an application-oriented approach that can be demonstrated with respect to data analytics using artificial intelligence to make systems stronger (i.e., impossible to breach). We can see many serious cyber breaches on Government databases or public profiles at online social networking in the recent decade. Today artificial intelligence or machine learning is redefining every aspect of cyber security. From improving organizations’ ability to anticipate and thwart breaches, protecting the proliferating number of threat surfaces with Zero Trust Security frameworks to making passwords obsolete, AI and machine learning are essential to securing the perimeters of any business. The book is useful for researchers, academics, industry players, data engineers, data scientists, governmental organizations, and non-governmental organizations.

Author : Preeti Malik
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110766744
Total Pages : 160 pages
Book Rating : 4.45/5 ( download)

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Download or read book Machine Learning for Cyber Security written by Preeti Malik and published by Walter de Gruyter GmbH & Co KG. This book was released on 2022-12-05 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book shows how machine learning (ML) methods can be used to enhance cyber security operations, including detection, modeling, monitoring as well as defense against threats to sensitive data and security systems. Filling an important gap between ML and cyber security communities, it discusses topics covering a wide range of modern and practical ML techniques, frameworks and tools.