ENGLISH

New Approaches to Data Analytics and Internet of Things Through Digital Twin

Book information

Publisher
Engineering Science Reference
Year
2022
ISBN
1668457237, 9781668457238
Language
english
Format
PDF
Filesize
9 MB (9692735 bytes)
Series
Advances in Systems Analysis, Software Engineering, and High Performance Computing
Pages
326\326
Topic
Computers
Time added
2022-12-30 21:33:34

Description

Even though many data analytics tools have been developed in the past years, their usage in the field of cyber twin warrants new approaches that consider various aspects including unified data representation, zero-day attack detection, data sharing across threat detection systems, real-time analysis, sampling, dimensionality reduction, resource-constrained data processing, and time series analysis for anomaly detection. Further study is required to fully understand the opportunities, benefits, and difficulties of data analytics and the internet of things in today's modern world. New Approaches to Data Analytics and Internet of Things Through Digital Twin considers how data analytics and the internet of things can be used successfully within the field of digital twin as well as the potential future directions of these technologies. Covering key topics such as edge networks, deep learning, intelligent data analytics, and knowledge discovery, this reference work is ideal for computer scientists, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students. Title Page Copyright Page Book Series Table of Contents Detailed Table of Contents Preface Acknowledgment Chapter 1: Data Analytics Chapter 2: Data Management for IoT and Digital Twin Chapter 3: Cybertwin-Driven Resource Provisioning for IoE Applications at 6G-Enabled Edge Networks Chapter 4: Edge Computing on IoT Chapter 5: Disease Analysis and Prediction Using Digital Twins and Big Data Analytics Chapter 6: Knowledge Discovery Through Intelligent Data Analytics in Healthcare Chapter 7: A Novel Dual Image-Based Reversible Hiding Technique Using LSB Matching-Digital World Chapter 8: Using Deep Learning and Big Data Analytics for Managing Cyber-Attacks Chapter 9: Data Analysis of Cognitive, Behavioral, and Emotional Features Having Impact on Student Careers Chapter 10: Big Data Analytics in Industrial IoT and Cybertwin Chapter 11: The APT Cyber Warriors With TTP Weapons to Battle Compilation of References Related Readings About the Contributors Index

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