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.
Author(s): P. Karthikeyan, Polinpapilinho F. Katina, S. P. Anandaraj
Series: Advances in Systems Analysis, Software Engineering, and High Performance Computing
Publisher: Engineering Science Reference
Year: 2022
Language: English
Pages: 326
City: Hershey
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
