Big Data and Cloud: Trust, Security and Privacy

Abdulrahman Yarali
Professor of Telecommunication, Murray State University, Murray, KY, USA

Michael Lee Ramage
Center for Computer and Information Technology, Murray State University, Murray, KY, USA

Series: Internet Theory, Technology and Applications
BISAC: COM060000

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$230.00

Volume 10

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Special issue: Resilience in breaking the cycle of children’s environmental health disparities
Edited by I Leslie Rubin, Robert J Geller, Abby Mutic, Benjamin A Gitterman, Nathan Mutic, Wayne Garfinkel, Claire D Coles, Kurt Martinuzzi, and Joav Merrick

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The emergence of big data is expected to change business dynamics in different organizations and the value behind big data is evident. Consumer data is traded, sold, and a sought-after commodity. In the next two decades, the volume of data available to different enterprises will grow dramatically. The big data is expected to change insights about the customers, operational costs, and all the relevant aspects of different business models around the world. The emergence of cloud computing has enabled businesses to compete at a higher level because the traditional software and systems are no longer required. Digital heterogeneity and the confluence of Artificial Intelligence with 5G and IoT are expected to dominate the market because the majority of the organizations in the world are considering the use of AI to reduce their operating costs.

Even as the future of business technology continues to get brighter, there is a need to reconsider trust, privacy, and risk management issues. As technology continues to advance, the risks become greater, and thus, security becomes a significant aspect that needs to be addressed. In the last few years, new laws have been developed to regulate how service providers collect, use, retain, disclose, and dispose of user information. The number of cyber-attacks and data breaches have been rising at an alarming rate and it is essential for the organization to take necessary precautions to protect their data. In this book, transformation and advancement to a pervasive and converged digital infrastructure of Big Data, IoT and AI with their values, threats and security at different levels are discussed.
(Imprint: Nova)

Preface

Chapter 1. Big Data: An Introduction

Chapter 2. Big Data and Cloud Computing

Chapter 3. Big Data Management Analysis

Chapter 4. Diversity in Big Data Appllications

Chapter 5. Big Data Security Challenges and Management

Chapter 6. Big Data Transforaamtion into Big Values

Chapter 7. Role of Big Data Analytic on IoT

Chapter 8. The Convergence of Big Data, the Internet of Things and Cloud Computing

Chapter 9. Cloud Structures and Industrial IoT

Chapter 10. The Security Challenges of Big Data

Chapter 11. Big Data Analytics: IoT and Privacy Challenges

Chapter 12. Big Data: Security, Privacy and Trust

Index

This book is intended for data and network managers and engineers, information technology personnel, graduate and senior undergraduate students in telecommunication and computer science majors.

Big Data, Cloud, Security, Privacy, Values

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