Empowering IoT with Big Data Analytics

Mohamed Adel Serhani, Yang Xu, Zakaria Maamar

• Publisher: Academic Press
• Year: 2024
• eBook ISBN: 9780443216411
• Edition: 0
• Topic: Computer Science
• Subtopic: Artificial Intelligence (AI) & Semantics
• Index: Computer Science

Empowering IoT with Big Data Analytics provides comprehensive coverage of major topics, tools, and techniques related to empowering IoT with big data technologies and big data analytics solutions, thus allowing for better processing, analysis, protection, distribution, and visualization of data for the benefit of IoT applications and second, a better deployment of IoT applications on the ground. This book covers big data in the IoT era, its application domains, current state-of-the-art in big data and IoT technologies, standards, platforms, and solutions. This book provides a holistic view of the big data value-chain for IoT, including storage, processing, protection, distribution, analytics, and visualization.Big data is a multi-disciplinary topic involving handling intensive, continuous, and heterogeneous data retrieved from different sources including sensors, social media, and embedded systems. The emergence of Internet of Things (IoT) and its application to many domains has led to the generation of huge amounts of both structured and unstructured data often referred to as big data.- Introduces fundamental concepts of big data analytics and their applications to IoT- Helps readers learn to leverage big data storage, processing and analysis tools, and techniques to promote IoT applications for better decision-making- Explores federated learning in big data to ensure data privacy and handle data heterogeneity

Table of contents

• Empowering IoT with Big Data Analytics
• Chapter 1 Introduction to empowering IoT with big data analytics
• Chapter 2 Big data analytics for IoT: Technologies, importance, and algorithms
• Chapter 3 Machine learning for sensory data analytics
• Chapter 4 Applications of big data analytics in IoT
• Chapter 5 Security and privacy of IoT applications
• Chapter 6 Big Data quality assessment in the IoT era
• Chapter 7 Cloud/edge provisioning to support big data and IoT
• Chapter 8 An integrated framework for securing IoT networks with blockchain and AI
• Chapter 9 Networks and implementation tools for IoT and big data
• Chapter 10 IoT for critical Big Data applications
• Chapter 11 Case studies of big data applications for IoT
• Chapter 12 New trends in big data and IoT applications and solutions
• Chapter 13 Exploring the convergence of Internet of things and big data technologies in the age of generative artificial intelligence
• Index