Advanced Identity Access Management And Blockchain Integration Techniques Protocols And Real World Applications For Enhancing Security Privacy And Scalability In Modern Digital Infrastructures
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Advanced Identity Access Management and Blockchain Integration: Techniques, Protocols, and Real-World Applications for Enhancing Security, Privacy, and Scalability in Modern Digital Infrastructures
Author: Mahammad Shaik
language: en
Publisher: Libertatem Media Private Limited
Release Date: 2022-03-10
This comprehensive monograph delves into the integration of Identity Access Management (IAM) and Blockchain technologies, offering advanced techniques and methodologies to enhance security, privacy, and scalability in modern digital infrastructures. By exploring the intersection of IAM and Blockchain, the book provides a detailed understanding of how these technologies can be combined to create robust, decentralized, and secure systems. It covers practical applications, case studies, and best practices, making it an essential resource for professionals aiming to leverage IAM and Blockchain for secure and efficient digital identity management. The book maintains a cohesive flow, ensuring that each chapter builds on the previous one, offering a seamless and comprehensive narrative.
Energy-Efficient Deep Learning Approaches in IoT, Fog, and Green Blockchain Revolution
The convergence of Internet of Things (IoT), fog computing, and blockchain technology can be used to revolutionize energy efficiency and sustainability. The implementation of deep learning (DL) techniques may optimize the energy consumption of these interconnected systems. Thus, they can be used to create green, energy-efficient solutions for various industries, including smart cities, healthcare, finance, and industrial IoT (IIoT). Focusing on the energy efficiency and environmental impact of these technologies, they provide valuable insights into creating sustainable and scalable systems. Energy-Efficient Deep Learning Approaches in IoT, Fog, and Green Blockchain Revolution bridges the knowledge gap between traditional IoT and blockchain research and the emerging need for energy-efficient and green technologies. It influences future research directions, encourages collaboration across disciplines, and inspires innovations that prioritize sustainability. Covering topics such as software-defined networking (SDN), ecosystem conservation, and monitoring systems, this book is an excellent resource for computer scientists, policymakers, technologists, industry practitioners, engineers, environmentalists, sustainability advocates, professionals, researchers, scholars, academicians, and more.
Artificial Intelligence in Healthcare
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data