Editors: Sonali Vyas, Shaurya Gupta, Vinod Kumar Shukla, Chinwe Peace Igri

Data Management and Security in Blockchain Systems

eBook: US $49 Special Offer (PDF + Printed Copy): US $79
Printed Copy: US $54
Library License: US $196
ISBN: 978-981-5305-82-1 (Print)
ISBN: 978-981-5305-81-4 (Online)
Year of Publication: 2024
DOI: 10.2174/97898153058141240101

Introduction

Data Management and Security in Blockchain Systems offers a comprehensive exploration of how blockchain technology is reshaping the landscape of data management and security. This book addresses key aspects of blockchain-based systems, including data integrity, transparency, and tamper resistance, making it an essential resource for students, researchers, and professionals.

Covering topics from blockchain-enabled IoT traffic management to the integration of AI for enhanced security, this book presents solutions to current challenges such as cyberattacks, smart grid security, and scalable network designs. Each chapter is thoughtfully structured to provide readers with a solid understanding of blockchain applications in diverse domains. Perfect for those seeking to understand blockchain’s potential to secure and manage data in an increasingly interconnected world.

Key Features:

  • - Comprehensive overview of data management and security in blockchain networks.
  • - Practical insights into IoT, smart grids, and AI integration.
  • - In-depth analysis of cybersecurity challenges and solutions.

Readership:

Undergraduate, graduate, and academic researchers.

Preface

In an era of digital transformation, Blockchain technology, the Internet of Things (IoT), Artificial Intelligence (AI), and big data systems have ushered in a new paradigm of data management and security challenges. As organizations embrace the potential of these disruptive technologies to revolutionize various industries, the need for robust data management practices and stringent security measures becomes increasingly paramount.

This book delves into the intricate landscape of data management and security within blockchain-based systems, exploring the multifaceted dimensions of this evolving field. A comprehensive evaluation examines the fundamental principles and practices governing data management in Blockchain networks, addressing the complexities inherent in ensuring data integrity, confidentiality, and availability.

Central to this discourse is the symbiotic relationship between Blockchain technology and IoT, as they collaborate to fortify data security and streamline traffic management. By leveraging blockchain's immutable and decentralized nature, coupled with the connectivity and sensor capabilities of IoT devices, novel solutions emerge to mitigate security risks and optimize data handling processes.

Furthermore, this book elucidates the security challenges confronting Blockchain networks, elucidating the evolving threat landscape and vulnerabilities inherent in these decentralized systems. From cyber-attacks targeting big data repositories to the vulnerabilities plaguing IoT devices, each chapter dissects the intricacies of modern-day data security threats and proposes innovative solutions to fortify system resilience.

Moreover, it explores integrating AI-enabled security mechanisms within Blockchain systems, harnessing the power of machine learning and predictive analytics to identify and thwart potential threats proactively. Organizations can use this synergy to elevate their defense mechanisms, preemptively addressing security breaches and safeguarding critical data assets.

Finally, this book endeavors to serve as a comprehensive guide for practitioners, researchers, and policymakers grappling with data management and security complexities in the digital age. By offering insights into emerging trends, best practices, and technological advancements, it aims to empower stakeholders to navigate the intricate landscape of blockchain-based systems with confidence and resilience.

As we embark on this journey through data management and security in Blockchain networks, let us unravel the intricacies, confront the challenges, and embrace the transformative potential of these groundbreaking technologies.

Sonali Vyas
School of Computer Science
UPES Dehradun, Uttarakhand, India

Shaurya Gupta
School of Computer Science
UPES Dehradun, Uttarakhand, India

Vinod Kumar Shukla
Department of Engineering and Architecture
Amity University Dubai, UAE

&

Chinwe Peace Igri

Computer Science and Mathematics
Mountain Top University
Port Harcourt, Rivers State, Nigeria