AI-Embedded Blockchain Technologies and Applications
Enhancing Cybersecurity Systems in Smart Environments
Seiten
2025
Wiley-IEEE Press (Verlag)
978-1-394-27063-7 (ISBN)
Wiley-IEEE Press (Verlag)
978-1-394-27063-7 (ISBN)
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Enables readers to understand how machine learning and blockchain technologies can enhance cybersecurity of systems in smart and intelligent environments.
AI-Embedded Blockchain Technologies and Applications: Enhancing Cybersecurity Systems in Smart Environments explores the intersection of two cutting-edge technologies, machine learning and blockchain, and their potential to enhance the cybersecurity of systems in smart and intelligent environments. This book also delivers expert insight and practical tips on emerging trends and recent advancements in the fields of artificial intelligence, cyber security, smart healthcare, and smart cities.
The book begins with an introduction to the growing challenges of cybersecurity in smart and intelligent environments, highlighting the increasing complexity and interconnectedness of modern systems which leads to vulnerabilities and the need for innovative solutions. From there, the book provides an expansive overview of each technology, with key insight into how they can be used together to achieve superior performance.
Real-world case studies and practical implementations of covered technologies are included throughout, with information on implementation challenges, benefits, lessons learned, and much more.
Edited by three highly qualified academics and contributed to by leaders in the field, AI-Embedded Blockchain Technologies and Applications: Enhancing Cybersecurity Systems in Smart Environments covers sample topics, including:
Supervised and unsupervised learning, classification, regression, clustering, deep learning, neural networks, and reinforcement learning
Cybersecurity, cloud, secure data storage, identity management, secure communication protocols, intrusion detection, malware analysis, anomaly detection, and threat intelligence
Fundamental components of a blockchain such as blocks, transactions, consensus mechanisms, cryptographic hashing, and smart contracts
Blockchain scalability, privacy-preserving techniques, and the integration of other technologies such as Internet of Things (IoT) and edge computing.
Written in accessible language and bridging the gap between theory and practice, AI-Embedded Blockchain Technologies and Applications: Enhancing Cybersecurity Systems in Smart Environments is an essential resource on secure, smart and intelligent environments for specialists, analysts, engineers, scholars, and researchers in related fields.
AI-Embedded Blockchain Technologies and Applications: Enhancing Cybersecurity Systems in Smart Environments explores the intersection of two cutting-edge technologies, machine learning and blockchain, and their potential to enhance the cybersecurity of systems in smart and intelligent environments. This book also delivers expert insight and practical tips on emerging trends and recent advancements in the fields of artificial intelligence, cyber security, smart healthcare, and smart cities.
The book begins with an introduction to the growing challenges of cybersecurity in smart and intelligent environments, highlighting the increasing complexity and interconnectedness of modern systems which leads to vulnerabilities and the need for innovative solutions. From there, the book provides an expansive overview of each technology, with key insight into how they can be used together to achieve superior performance.
Real-world case studies and practical implementations of covered technologies are included throughout, with information on implementation challenges, benefits, lessons learned, and much more.
Edited by three highly qualified academics and contributed to by leaders in the field, AI-Embedded Blockchain Technologies and Applications: Enhancing Cybersecurity Systems in Smart Environments covers sample topics, including:
Supervised and unsupervised learning, classification, regression, clustering, deep learning, neural networks, and reinforcement learning
Cybersecurity, cloud, secure data storage, identity management, secure communication protocols, intrusion detection, malware analysis, anomaly detection, and threat intelligence
Fundamental components of a blockchain such as blocks, transactions, consensus mechanisms, cryptographic hashing, and smart contracts
Blockchain scalability, privacy-preserving techniques, and the integration of other technologies such as Internet of Things (IoT) and edge computing.
Written in accessible language and bridging the gap between theory and practice, AI-Embedded Blockchain Technologies and Applications: Enhancing Cybersecurity Systems in Smart Environments is an essential resource on secure, smart and intelligent environments for specialists, analysts, engineers, scholars, and researchers in related fields.
Dr. Alex Khang, Professor, AI and Data Scientist, Department of AI and Data Science, Global Research Institute of Technology and Engineering, North Carolina, United States. Dr. Namrata Dhanda, Professor, Department of Computer Science and Engineering, Amity University Uttar Pradesh, Lucknow Campus, India. Rajat Verma, Assistant Professor, Department of Computer Science and Engineering, Pranveer Singh Institute of Technology, Kanpur, Uttar Pradesh, India.
Erscheint lt. Verlag | 5.5.2025 |
---|---|
Sprache | englisch |
Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Informatik ► Weitere Themen ► Hardware | |
ISBN-10 | 1-394-27063-1 / 1394270631 |
ISBN-13 | 978-1-394-27063-7 / 9781394270637 |
Zustand | Neuware |
Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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