Cyber Security Cryptography And Machine Learning

Author : Shlomi Dolev,Danny Hendler,Sachin Lodha,Moti Yung
Publisher : Springer
Page : 330 pages
File Size : 41,5 Mb
Release : 2019-06-17
Category : Computers
ISBN : 9783030209513

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Cyber Security Cryptography and Machine Learning by Shlomi Dolev,Danny Hendler,Sachin Lodha,Moti Yung Pdf

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 : Shlomi Dolev,Oded Margalit,Benny Pinkas,Alexander Schwarzmann
Publisher : Springer Nature
Page : 506 pages
File Size : 42,9 Mb
Release : 2021-07-01
Category : Computers
ISBN : 9783030780869

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Cyber Security Cryptography and Machine Learning by Shlomi Dolev,Oded Margalit,Benny Pinkas,Alexander Schwarzmann Pdf

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,Jonathan Katz,Amnon Meisels
Publisher : Springer Nature
Page : 522 pages
File Size : 40,7 Mb
Release : 2022-06-23
Category : Computers
ISBN : 9783031076893

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Cyber Security, Cryptology, and Machine Learning by Shlomi Dolev,Jonathan Katz,Amnon Meisels Pdf

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,Ehud Gudes,Pascal Paillier
Publisher : Springer Nature
Page : 539 pages
File Size : 43,8 Mb
Release : 2023-06-20
Category : Computers
ISBN : 9783031346712

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Cyber Security, Cryptology, and Machine Learning by Shlomi Dolev,Ehud Gudes,Pascal Paillier Pdf

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 : Xiaofeng Chen,Willy Susilo,Elisa Bertino
Publisher : Springer Nature
Page : 168 pages
File Size : 42,6 Mb
Release : 2021-07-02
Category : Computers
ISBN : 9789813367265

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Cyber Security Meets Machine Learning by Xiaofeng Chen,Willy Susilo,Elisa Bertino Pdf

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 : Shlomi Dolev,Vladimir Kolesnikov,Sachin Lodha,Gera Weiss
Publisher : Springer Nature
Page : 265 pages
File Size : 43,9 Mb
Release : 2020-06-25
Category : Computers
ISBN : 9783030497859

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Cyber Security Cryptography and Machine Learning by Shlomi Dolev,Vladimir Kolesnikov,Sachin Lodha,Gera Weiss Pdf

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,Vijayalakshmi, G.V. Mahesh,Visalakshi, P.,Uma, R.,Meenakshi, A.
Publisher : IGI Global
Page : 313 pages
File Size : 46,6 Mb
Release : 2024-03-04
Category : Computers
ISBN : 9798369316436

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Innovative Machine Learning Applications for Cryptography by Ruth, J. Anitha,Vijayalakshmi, G.V. Mahesh,Visalakshi, P.,Uma, R.,Meenakshi, A. Pdf

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 : Shlomi Dolev,Sachin Lodha
Publisher : Springer
Page : 307 pages
File Size : 45,6 Mb
Release : 2017-06-14
Category : Computers
ISBN : 9783319600802

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Cyber Security Cryptography and Machine Learning by Shlomi Dolev,Sachin Lodha Pdf

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 : Atul Chaturvedi
Publisher : Springer Nature
Page : 881 pages
File Size : 49,7 Mb
Release : 2024-05-18
Category : Electronic
ISBN : 9789819706419

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Cryptology and Network Security with Machine Learning by Atul Chaturvedi Pdf

Author : Clarence Chio,David Freeman
Publisher : "O'Reilly Media, Inc."
Page : 385 pages
File Size : 52,5 Mb
Release : 2018-01-26
Category : Computers
ISBN : 9781491979877

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Machine Learning and Security by Clarence Chio,David Freeman Pdf

Can machine learning techniques solve our computer security problems and finally put an end to the cat-and-mouse game between attackers and defenders? Or is this hope merely hype? Now you can dive into the science and answer this question for yourself! With this practical guide, you’ll explore ways to apply machine learning to security issues such as intrusion detection, malware classification, and network analysis. Machine learning and security specialists Clarence Chio and David Freeman provide a framework for discussing the marriage of these two fields, as well as a toolkit of machine-learning algorithms that you can apply to an array of security problems. This book is ideal for security engineers and data scientists alike. Learn how machine learning has contributed to the success of modern spam filters Quickly detect anomalies, including breaches, fraud, and impending system failure Conduct malware analysis by extracting useful information from computer binaries Uncover attackers within the network by finding patterns inside datasets Examine how attackers exploit consumer-facing websites and app functionality Translate your machine learning algorithms from the lab to production Understand the threat attackers pose to machine learning solutions

Author : Itai Dinur,Shlomi Dolev,Sachin Lodha
Publisher : Springer
Page : 298 pages
File Size : 52,8 Mb
Release : 2018-06-16
Category : Computers
ISBN : 9783319941479

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Cyber Security Cryptography and Machine Learning by Itai Dinur,Shlomi Dolev,Sachin Lodha Pdf

This book constitutes the refereed proceedings of the Second International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2018, held in Beer-Sheva, Israel, in June 2018. The 16 full and 6 short papers presented in this volume were carefully reviewed and selected from 44 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 the scope.

Author : Rajdeep Chakraborty,Anupam Ghosh,Jyotsna Kumar Mandal,S. Balamurugan
Publisher : John Wiley & Sons
Page : 485 pages
File Size : 46,8 Mb
Release : 2022-11-08
Category : Computers
ISBN : 9781119857662

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Convergence of Deep Learning in Cyber-IoT Systems and Security by Rajdeep Chakraborty,Anupam Ghosh,Jyotsna Kumar Mandal,S. Balamurugan Pdf

CONVERGENCE OF DEEP LEARNING IN CYBER-IOT SYSTEMS AND SECURITY In-depth analysis of Deep Learning-based cyber-IoT systems and security which will be the industry leader for the next ten years. The main goal of this book is to bring to the fore unconventional cryptographic methods to provide cyber security, including cyber-physical system security and IoT security through deep learning techniques and analytics with the study of all these systems. This book provides innovative solutions and implementation of deep learning-based models in cyber-IoT systems, as well as the exposed security issues in these systems. The 20 chapters are organized into four parts. Part I gives the various approaches that have evolved from machine learning to deep learning. Part II presents many innovative solutions, algorithms, models, and implementations based on deep learning. Part III covers security and safety aspects with deep learning. Part IV details cyber-physical systems as well as a discussion on the security and threats in cyber-physical systems with probable solutions. Audience Researchers and industry engineers in computer science, information technology, electronics and communication, cybersecurity and cryptography.

Author : Sarvesh Tanwar,Sumit Badotra,Ajay Rana
Publisher : CRC Press
Page : 313 pages
File Size : 52,7 Mb
Release : 2022-08-31
Category : Computers
ISBN : 9781000623918

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Machine Learning, Blockchain, and Cyber Security in Smart Environments by Sarvesh Tanwar,Sumit Badotra,Ajay Rana Pdf

Machine Learning, Cyber Security, and Blockchain in Smart Environment: Application and Challenges provides far-reaching insights into the recent techniques forming the backbone of smart environments, and addresses the vulnerabilities that give rise to the challenges in real-word implementation. The book focuses on the benefits related to the emerging applications such as machine learning, blockchain and cyber security. Key Features: Introduces the latest trends in the fields of machine learning, blockchain and cyber security Discusses the fundamentals, challenges and architectural overviews with concepts Explores recent advancements in machine learning, blockchain, and cyber security Examines recent trends in emerging technologies This book is primarily aimed at graduates, researchers, and professionals working in the areas of machine learning, blockchain, and cyber security.

Author : Tony Thomas,Athira P. Vijayaraghavan,Sabu Emmanuel
Publisher : Springer Nature
Page : 217 pages
File Size : 40,9 Mb
Release : 2019-12-16
Category : Computers
ISBN : 9789811517068

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Machine Learning Approaches in Cyber Security Analytics by Tony Thomas,Athira P. Vijayaraghavan,Sabu Emmanuel Pdf

This book introduces various machine learning methods for cyber security analytics. With an overwhelming amount of data being generated and transferred over various networks, monitoring everything that is exchanged and identifying potential cyber threats and attacks poses a serious challenge for cyber experts. Further, as cyber attacks become more frequent and sophisticated, there is a requirement for machines to predict, detect, and identify them more rapidly. Machine learning offers various tools and techniques to automate and quickly predict, detect, and identify cyber attacks.

Author : Bimal Kumar Roy,Atul Chaturvedi,Boaz Tsaban,Sartaj Ul Hasan
Publisher : Springer
Page : 0 pages
File Size : 41,7 Mb
Release : 2023-08-17
Category : Technology & Engineering
ISBN : 9819922283

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Cryptology and Network Security with Machine Learning by Bimal Kumar Roy,Atul Chaturvedi,Boaz Tsaban,Sartaj Ul Hasan Pdf

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.