Rajat Verma – författare

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.

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.

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.

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 learningCybersecurity, cloud, secure data storage, identity management, secure communication protocols, intrusion detection, malware analysis, anomaly detection, and threat intelligenceFundamental components of a blockchain such as blocks, transactions, consensus mechanisms, cryptographic hashing, and smart contractsBlockchain 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.

This volume analyses the process and structure of ecotaxes in India to bring forth its rationale, application and incidence on emerging environmental problems on the backdrop of the environmental issues confronted by the Indian economy. Being at infant stage in India, the concept of ecotaxes is plagued with large empirical difficulties. This book provides a holistic understanding of the complexities in the design and implementation of these fiscal instruments at the country level. After elaborating on the theory, history of its applications, the book provides an innovative methodological exercise. It examines the adequacy and relevance of ecotaxation in the Indian context, along with ensuring that the distortions due to the proposed levy are minimised. The incidence of these taxes on the households, the double dividend hypothesis and the effect on competitiveness of the producer are a few of the core themes elaborated upon in this book. This is demonstrated through a linear general equilibrium framework of Environmentally extended Social Accounting Matrix (E-SAM).The book provides material for the researchers and graduate students on the methodological structure of eco-taxes. The proposed methodological intervention could be utilised by the researchers who wish to analyse the macroeconomic impact of any tax through the framework of Social Accounting Matrix (SAM). Additionally, the process as well as the implications and nuances provided in the book will assist the policy makers to design innovative policies for dealing with environmental issues. The volume also has something for the practitioners by helping them comprehend various effects of these instruments on different stake holders of the economy and thus will be useful as a policy prescription. The three policy scenarios analysed in this study could be considered by the policymakers while attempting to design these instruments in the Indian context and thus ending the extensive reliance on the age oldand grossly ineffective Command and Control (CAC) Policies.

This volume analyses the process and structure of ecotaxes in India to bring forth its rationale, application and incidence on emerging environmental problems on the backdrop of the environmental issues confronted by the Indian economy. Being at infant stage in India, the concept of ecotaxes is plagued with large empirical difficulties. This book provides a holistic understanding of the complexities in the design and implementation of these fiscal instruments at the country level. After elaborating on the theory, history of its applications, the book provides an innovative methodological exercise. It examines the adequacy and relevance of ecotaxation in the Indian context, along with ensuring that the distortions due to the proposed levy are minimised. The incidence of these taxes on the households, the double dividend hypothesis and the effect on competitiveness of the producer are a few of the core themes elaborated upon in this book. This is demonstrated through a linear general equilibrium framework of Environmentally extended Social Accounting Matrix (E-SAM).

The book provides material for the researchers and graduate students on the methodological structure of eco-taxes. The proposed methodological intervention could be utilised by the researchers who wish to analyse the macroeconomic impact of any tax through the framework of Social Accounting Matrix (SAM). Additionally, the process as well as the implications and nuances provided in the book will assist the policy makers to design innovative policies for dealing with environmental issues. The volume also has something for the practitioners by helping them comprehend various effects of these instruments on different stake holders of the economy and thus will be useful as a policy prescription. The three policy scenarios analysed in this study could be considered by the policymakers while attempting to design these instruments in the Indian context and thus ending the extensive reliance on the age oldand grossly ineffective Command and Control (CAC) Policies.