SK Hafizul Islam – författare

Blockchain Technology for Emerging Applications: A Comprehensive Approach explores recent theories and applications of the execution of blockchain technology. Chapters look at a wide range of application areas, including healthcare, digital physical frameworks, web of-things, smart transportation frameworks, interruption identification frameworks, ballot-casting, architecture, smart urban communities, and digital rights administration. The book addresses the engineering, plan objectives, difficulties, constraints, and potential answers for blockchain-based frameworks.

It also looks at blockchain-based design perspectives of these intelligent architectures for evaluating and interpreting real-world trends. Chapters expand on different models which have shown considerable success in dealing with an extensive range of applications, including their ability to extract complex hidden features and learn efficient representation in unsupervised environments for blockchain security pattern analysis.

With the rapidly advancing fields of Data Analytics and Computational Statistics, it’s important to keep up with current trends, methodologies, and applications. This book investigates the role of data mining in computational statistics for machine learning. It offers applications that can be used in various domains and examines the role of transformation functions in optimizing problem statements.

Data Analytics, Computational Statistics, and Operations Research for Engineers: Methodologies and Applications presents applications of computationally intensive methods, inference techniques, and survival analysis models. It discusses how data mining extracts information and how machine learning improves the computational model based on the new information.

Those interested in this reference work will include students, professionals, and researchers working in the areas of data mining, computational statistics, operations research, and machine learning.

With the rapidly advancing fields of Data Analytics and Computational Statistics, it’s important to keep up with current trends, methodologies, and applications. This book investigates the role of data mining in computational statistics for machine learning. It offers applications that can be used in various domains and examines the role of transformation functions in optimizing problem statements.

Data Analytics, Computational Statistics, and Operations Research for Engineers: Methodologies and Applications presents applications of computationally intensive methods, inference techniques, and survival analysis models. It discusses how data mining extracts information and how machine learning improves the computational model based on the new information.

Those interested in this reference work will include students, professionals, and researchers working in the areas of data mining, computational statistics, operations research, and machine learning.

QUANTUM BLOCKCHAIN

While addressing the security challenges and threats in blockchain, this book is also an introduction to quantum cryptography for engineering researchers and students in the realm of information security.

Quantum cryptography is the science of exploiting quantum mechanical properties to perform cryptographic tasks. By utilizing unique quantum features of nature, quantum cryptography methods offer everlasting security.

The applicability of quantum cryptography is explored in this book. It describes the state-of-the-art of quantum blockchain techniques and sketches how they can be implemented in standard communication infrastructure. Highlighting a wide range of topics such as quantum cryptography, quantum blockchain, post-quantum blockchain, and quantum blockchain in Industry 4.0, this book also provides the future research directions of quantum blockchain in terms of quantum resilience, data management, privacy issues, sustainability, scalability, and quantum blockchain interoperability. Above all, it explains the mathematical ideas that underpin the methods of post-quantum cryptography security.

Readers will find in this book a comprehensiveness of the subject including:

Audience

The book is for security analysts, data scientists, vulnerability analysts, professionals, academicians, researchers, industrialists, and students working in the fields of (quantum) blockchain, cybersecurity, cryptography, and artificial intelligence with regard to smart cities and Internet of Things.

QUANTUM BLOCKCHAIN

While addressing the security challenges and threats in blockchain, this book is also an introduction to quantum cryptography for engineering researchers and students in the realm of information security.

Quantum cryptography is the science of exploiting quantum mechanical properties to perform cryptographic tasks. By utilizing unique quantum features of nature, quantum cryptography methods offer everlasting security.

The applicability of quantum cryptography is explored in this book. It describes the state-of-the-art of quantum blockchain techniques and sketches how they can be implemented in standard communication infrastructure. Highlighting a wide range of topics such as quantum cryptography, quantum blockchain, post-quantum blockchain, and quantum blockchain in Industry 4.0, this book also provides the future research directions of quantum blockchain in terms of quantum resilience, data management, privacy issues, sustainability, scalability, and quantum blockchain interoperability. Above all, it explains the mathematical ideas that underpin the methods of post-quantum cryptography security.

Readers will find in this book a comprehensiveness of the subject including:

Audience

The book is for security analysts, data scientists, vulnerability analysts, professionals, academicians, researchers, industrialists, and students working in the fields of (quantum) blockchain, cybersecurity, cryptography, and artificial intelligence with regard to smart cities and Internet of Things.