 Название: The Confluence of Cryptography, Blockchain and Artificial Intelligence
Автор: Ankita, Nayancy, Rajat Verma
Издательство: CRC Press
Год: 2025
Страниц: 272
Язык: английский
Формат: epub (true)
Размер: 10.5 MB
With blockchain underpinning cryptocurrencies and improving IoT security, this book uncovers the evolution of blockchain (1.0 to 4.0) and its applications. It also introduces AI, discussing its development, paradigms, and industry-wide impact. The book explores the integration of cryptography, blockchain, and Artificial Intelligence (AI) in areas such as big data, bioinformatics, IoT, 5G, and Industry 4.0. It highlights how these technologies drive the digital revolution, enabling multi-agent systems, autonomous models, and enhanced security. This book explores the integration of Cryptography, Blockchain, and Artificial Intelligence (AI) in areas like Big Data, bioinformatics, IoT, 5G, and Industry 4.0.
This edited book, The Confluence of Cryptography, Blockchain and Artificial Intelligence: Advances, delves into this exciting new frontier, exploring the ways in which these three domains are coming together to shape the future. It brings together the insights of leading researchers and practitioners who are actively exploring the potential of this confluence.
The book is divided into several sections, each focusing on a specific aspect of this convergence. The first section lays the groundwork by providing a comprehensive overview of Cryptography, Blockchain, and AI, individually. Subsequent sections delve deeper into the specific areas where these fields intersect, exploring themes such as:
• Secure and Scalable AI: How cryptography and blockchain can be leveraged to ensure the security and scalability of AI systems.
• Decentralized AI: Exploring the potential of blockchain technology to enable the development and deployment of decentralized AI systems.
• Explainable AI: How AI can be made more transparent and interpretable through the use of cryptographic techniques.
• AI-powered Security: Leveraging AI to enhance the security of cryptographic systems and blockchain networks.
Blockchain has become a game-changing technology in the field of transparent and decentralized transactions. At first, Blockchain was touted as the technology behind cryptocurrencies, but it has quickly gained recognition for its ability to change a variety of industries. Blockchain makes transactions safe and transparent by generating an immutable, decentralized ledger that eliminates the need for middlemen. Its impact extends beyond finance, reaching supply chain management, healthcare, and even governance. Artificial Intelligence is the outcome of decades of research and progress in computer science (AI). Since Artificial Intelligence (AI) can replicate the intellect of humans and learn from massive volumes of data. Artificial Intelligence is revolutionizing how we work, communicate, and make decisions. Examples include predictive analytics, personalized recommendations, driverless vehicles, and natural language processing (NLP).
Together, Cryptography, Blockchain, and Artificial Intelligence are reshaping the modern world of computing in ways we never thought possible. They are breaking down barriers, enhancing security, and unlocking new possibilities for innovation. We must negotiate the ethical, legal, and sociological ramifications of these revolutionary technologies as we learn more about them to maximize their potential for the benefit of society. This chapter explores the introduction of Cryptography, Blockchain, and Artificial Intelligence in the modern world of computing. It will explore their history, explore their uses, and discuss the difficulties and possibilities that lay ahead. Come along on this fascinating journey with us as we explore the potential and power of these cutting-edge technologies to influence computing in the future.
Contents:
Preface
1.The Introduction of Cryptography, Blockchain, and Artificial Intelligence in the Modern World of Computing
2.Blockchain 1.0 to Blockchain 4.0—Evolution, Transformation and Comparison of Different Generations
3.Traditional AI vs Modern AI
4.Enhancing the Security of Resource Constraints Devices Using Blockchain
5.Transforming Vulnerability into Trust: Modernizing Government Document Dissemination with Blockchain and Machine Learning Technology
6.Detection of Ovarian Cancer Using Improved Deep Learning Model
7.Role of AI in Supply Chain Management and Bio-Informatics Sector
8.Smart Contracts and Decentralized Applications
9.An Intelligent Approach Using Data Analysis Techniques for the Automobile Industry
10.IoT Integration and Cryptographically Secured Solutions towards Intelligent Elevator Systems
11.Artificial Intelligence (AI) enabled Digital Twin for Smart Manufacturing
12.Application of Cryptography and Deep Learning for Smart Environments
Index
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