Cryptology And Network Security With Machine Learning
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Cryptology And Network Security With Machine Learning
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Author : Bimal Kumar Roy
language : en
Publisher: Springer Nature
Release Date : 2023-10-17
Cryptology And Network Security With Machine Learning written by Bimal Kumar Roy and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-17 with Technology & Engineering categories.
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.
Cryptology And Network Security With Machine Learning
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Author : Atul Chaturvedi
language : en
Publisher: Springer Nature
Release Date : 2024-04-22
Cryptology And Network Security With Machine Learning written by Atul Chaturvedi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-22 with Technology & Engineering categories.
The book features original papers from International Conference on Cryptology & Network Security with Machine Learning (ICCNSML 2023), organized by PSIT, Kanpur, India during 27–29 October 2023. This conference proceeding provides the understanding of core concepts of Cryptology and 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, blockchain, IoT security, wireless security protocols, cryptanalysis, number theory, quantum computing, cryptographic aspects of network security, complexity theory, and cryptography with machine learning.
Cryptology And Network Security
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Author : Markulf Kohlweiss
language : en
Publisher: Springer Nature
Release Date : 2024-09-28
Cryptology And Network Security written by Markulf Kohlweiss and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-28 with Computers categories.
This two-volume set, LNCS 14905-14906, constitutes the proceedings from the 23rd International Conference on Cryptology and Network Security, CANS 2024, held in Cambridge, United Kingdom during September 24-27, 2024. The 25 papers included in these volumes were carefully reviewed and selected from 76 submissions. The papers presented in these two volumes are organized in the following topical sections:- Part I: Multi-party Computation; Post-quantum Security; Anonymity and Privacy; Blockchain Technology. Part II: Cyber Security and Leakage; Machine Learning and Security; Provable Security; Cryptanalysis.
Machine Learning And Cryptographic Solutions For Data Protection And Network Security
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Author : Ruth, J. Anitha
language : en
Publisher: IGI Global
Release Date : 2024-05-31
Machine Learning And Cryptographic Solutions For Data Protection And Network Security written by Ruth, J. Anitha and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-31 with Computers categories.
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.
Cyber Security Cryptography And Machine Learning
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Author : Shlomi Dolev
language : en
Publisher: Springer Nature
Release Date : 2020-06-25
Cyber Security Cryptography And Machine Learning written by Shlomi Dolev and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-25 with Computers categories.
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.
Applied Cryptography And Network Security
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Author : Christina Pöpper
language : en
Publisher: Springer Nature
Release Date : 2024-02-29
Applied Cryptography And Network Security written by Christina Pöpper and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-29 with Computers categories.
The 3-volume set LNCS 14583-14585 constitutes the proceedings of the 22nd International Conference on Applied Cryptography and Network Security, ACNS 2024, which took place in Abu Dhabi, UAE, in March 2024. The 54 full papers included in these proceedings were carefully reviewed and selected from 230 submissions. They have been organized in topical sections as follows: Part I: Cryptographic protocols; encrypted data; signatures; Part II: Post-quantum; lattices; wireless and networks; privacy and homomorphic encryption; symmetric crypto; Part III: Blockchain; smart infrastructures, systems and software; attacks; users and usability.
Applied Cryptography And Network Security Workshops
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Author : Jianying Zhou
language : en
Publisher: Springer Nature
Release Date : 2020-10-14
Applied Cryptography And Network Security Workshops written by Jianying Zhou and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-14 with Computers categories.
This book constitutes the proceedings of the satellite workshops held around the 18th International Conference on Applied Cryptography and Network Security, ACNS 2020, in Rome, Italy, in October 2020. The 31 papers presented in this volume were carefully reviewed and selected from 65 submissions. They stem from the following workshops: AIBlock 2020: Second International Workshop on Application Intelligence and Blockchain Security AIHWS 2020: First International Workshop on Artificial Intelligence in Hardware Security AIoTS 2020: Second International Workshop on Artificial Intelligence and Industrial Internet-of-Things Security Cloud S&P 2020: Second International Workshop on Cloud Security and Privacy SCI 2020: First International Workshop on Secure Cryptographic Implementation SecMT 2020: First International Workshop on Security in Mobile Technologies SiMLA 2020: Second International Workshop on Security in Machine Learning and its Applications
Selected Areas In Cryptography Sac 2024
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Author : Maria Eichlseder
language : en
Publisher: Springer Nature
Release Date : 2025-03-12
Selected Areas In Cryptography Sac 2024 written by Maria Eichlseder and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-12 with Computers categories.
This two-volume set LNCS 15516-15517 contains revised selected papers from the 31st International Conference on Selected Areas in Cryptography, SAC 2024, held in Montreal, QC, Canada, in August 2024. The 25 full papers presented in these proceedings were carefully reviewed and selected from 95 submissions. The papers are organized in the following topical sections: Part I: Privacy-preserving cryptography; post-quantum cryptography; attacks on public-key cryptography; and identity-based encryption. Part II: Authenticated encryption; symmetric design strategies; cryptanalysis of arithmetization-oriented primitives; symmetric primitive design; and implementations and side-channel analysis.
Cyber Security Cryptography And Machine Learning
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Author : Shlomi Dolev
language : en
Publisher: Springer Nature
Release Date : 2021-07-01
Cyber Security Cryptography And Machine Learning written by Shlomi Dolev and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-01 with Computers categories.
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.
Deep Learning Innovations For Securing Critical Infrastructures
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Author : Kumar, Rajeev
language : en
Publisher: IGI Global
Release Date : 2025-04-18
Deep Learning Innovations For Securing Critical Infrastructures written by Kumar, Rajeev and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-18 with Computers categories.
Deep learning innovations play a crucial role in securing critical infrastructures, offering advanced solutions to protect vital systems from sophisticated cyber threats. By leveraging neural networks and advanced algorithms, deep learning enables real-time anomaly detection, pattern recognition, and predictive threat analysis, which are essential for safeguarding critical sectors such as energy, transportation, healthcare, and finance. These technologies can identify vulnerabilities, respond to breaches, and adapt to new attacks, providing a strong defense against cyber risks. As the digital landscape becomes more interconnected, the integration of deep learning into cybersecurity strategies will enhance resilience while ensuring the safe operation of essential services. Deep Learning Innovations for Securing Critical Infrastructures explores the cutting-edge integration of neural networks and artificial intelligence (AI) in modern cybersecurity systems. It examines how AI, particularly neural network models, is revolutionizing cybersecurity by automating threat detection, analyzing complex data patterns, and implementing proactive defense mechanisms. This book covers topics such as blockchain, cloud computing, and event management, and is a useful resource for business owners, computer engineers, data scientists, academicians, and researchers.