Cryptology And Network Security With Machine Learning

Author : Bimal Kumar Roy
Publisher : Springer
ISBN 13 : 9789819922284
Total Pages : 0 pages
Book Rating : 4.83/5 ( download)

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Download or read book Cryptology and Network Security with Machine Learning written by Bimal Kumar Roy and published by Springer. This book was released on 2023-08-17 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book features original papers from International Conference on Cryptology & Network Security with Machine Learning (ICCNSML 2022), organized by PSIT, Kanpur, India during 16 – 18 December 2022. This conference proceeding will provide the understanding of core concepts of Cryptology & Network Security with ML in data communication. The book covers research papers in public key cryptography, elliptic curve cryptography, post quantum cryptography, lattice based cryptography, non-commutative ring based cryptography, cryptocurrency, authentication, key agreement, Hash functions, block/stream ciphers, polynomial based cryptography, code based cryptography, NTRU cryptosystems, security and privacy in machine learning, block chain, IoT security, wireless security protocols, cryptanalysis, number theory, quantum computing, cryptographic aspects of network security, complexity theory, and cryptography with machine learning.

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 : 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 : Bimal Kumar Roy
Publisher : Springer Nature
ISBN 13 : 9819922291
Total Pages : 461 pages
Book Rating : 4.91/5 ( download)

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Download or read book Cryptology and Network Security with Machine Learning written by Bimal Kumar Roy and published by Springer Nature. This book was released on 2023-10-17 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book features original papers from International Conference on Cryptology & Network Security with Machine Learning (ICCNSML 2022), organized by PSIT, Kanpur, India during 16 – 18 December 2022. This conference proceeding will provide the understanding of core concepts of Cryptology & Network Security with ML in data communication. The book covers research papers in public key cryptography, elliptic curve cryptography, post quantum cryptography, lattice based cryptography, non-commutative ring based cryptography, cryptocurrency, authentication, key agreement, Hash functions, block/stream ciphers, polynomial based cryptography, code based cryptography, NTRU cryptosystems, security and privacy in machine learning, block chain, IoT security, wireless security protocols, cryptanalysis, number theory, quantum computing, cryptographic aspects of network security, complexity theory, and cryptography with machine learning.

Author : Shlomi Dolev
Publisher : Springer
ISBN 13 : 331960080X
Total Pages : 307 pages
Book Rating : 4.02/5 ( 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 2017-06-14 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the first International Symposium on Cyber Security Cryptography and Machine Learning, held in Beer-Sheva, Israel, in June 2017. The 17 full and 4 short papers presented include cyber security; secure software development methodologies, formal methods semantics and verification of secure systems; fault tolerance, reliability, availability of distributed secure systems; game-theoretic approaches to secure computing; automatic recovery of self-stabilizing and self-organizing systems; communication, authentication and identification security; cyber security for mobile and Internet of things; cyber security of corporations; security and privacy for cloud, edge and fog computing; cryptography; cryptographic implementation analysis and construction; secure multi-party computation; privacy-enhancing technologies and anonymity; post-quantum cryptography and security; machine learning and big data; anomaly detection and malware identification; business intelligence and security; digital forensics; digital rights management; trust management and reputation systems; information retrieval, risk analysis, DoS.

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 : Vijayalakshmi G. V. Mahesh
Publisher : Engineering Science Reference
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.99/5 ( download)

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Download or read book Machine Learning and Cryptographic Solutions for Data Protection and Network Security written by Vijayalakshmi G. V. Mahesh and published by Engineering Science Reference. This book was released on 2024-03-22 with total page 0 pages. 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. This book is an indispensable guide for scholars navigating the intricate domains of Elliptic Curve Cryptography, Cryptanalysis, Pairing-based Cryptography, Artificial Intelligence, Digital Signature Algorithms, and more. It not only sheds light on current challenges but also provides actionable insights and recommendations, making it an essential resource for those seeking to understand the evolving landscape of data security and actively contribute to its fortification. In a world where the stakes of cybersecurity are higher than ever, this book emerges as a beacon of knowledge, offering a proactive and informed solution to the persistent challenges faced by the research community.

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 : 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.