This book digs into the important confluence of cybersecurity and big data, providing insights into the ever-changing environment of cyber threats and solutions to protect these enormous databases. In the modern digital era, large amounts of data have evolved into the vital organs of businesses, providing the impetus for decision-making, creativity, and a competitive edge. Cyberattacks pose a persistent danger to this important resource since they can result in data breaches, financial losses, and harm to an organization''s brand.

Features of particular interest include:

a. Understanding the Threat Landscape: The book gives a complete review of the many different types of cyber threats that target big data, including data breaches, ransomware attacks, and insider threats.

b. Analysing Real-World Case Studies: The purpose of this section is to provide the reader with useful insights into the strategies, methods, and processes that cyber adversaries use via the in-depth examination of real-world assaults on big data.

c. Strategies for Risk Mitigation: This book provides a comprehensive and actionable approach to reducing the dangers of cyberattacks on large amounts of data. It encompasses a broad variety of tactics, including network protection, encoding, and access restrictions

d. Emerging Technologies: This section introduces readers to cutting-edge technologies and best practices for securing large data.

e. Compliance with Regulations: The book examines the regulatory environment that governs data protection and privacy, including the General Data Protection Regulation (GDPR), the California Consumer Privacy Act (CCPA), and industry-specific requirements.

f. Trends of the Future: This book covers current trends and issues in cybersecurity and gives forward-looking views into the future of big data security. This is done in recognition that the cybersecurity environment is always shifting and developing.

g. Contributors of Expertise: The book includes contributions from industry practitioners, data scientists, and cybersecurity specialists who have hands-on experience defending large data settings.

This book digs into the important confluence of cybersecurity and big data, providing insights into the ever-changing environment of cyber threats and solutions to protect these enormous databases. In the modern digital era, large amounts of data have evolved into the vital organs of businesses, providing the impetus for decision-making, creativity, and a competitive edge. Cyberattacks pose a persistent danger to this important resource since they can result in data breaches, financial losses, and harm to an organization''s brand.

Explore the transformative potential of the Internet of Things (IoT) within the unique context of Africa. This comprehensive work delves into the challenges, opportunities, and future trends of IoT, with a particular focus on Nigeria. Readers will discover a novel security framework and defense mechanisms tailored to address the specific needs and vulnerabilities of IoT systems in the African setting. Unlike traditional texts, this book provides a detailed case study approach, illustrating real-world applications and implications of IoT in Africa. It covers a wide range of topics, including the integration of IoT in agriculture, healthcare, and urban development, and highlights both technological advancements and socio-economic impacts.Intended for researchers, practitioners, policymakers, and students, this book offers valuable insights and practical solutions. It serves as an essential resource for anyone looking to understand the dynamic landscape of IoT in Africa and leverage its potential for sustainable development. Key uses of this book include guiding the implementation of IoT projects in developing regions, informing policy formulation, and fostering innovation in IoT security. By addressing the unique challenges faced in Africa, this work stands out as a pivotal reference for advancing IoT technology in similar environments globally.

This comprehensive book explores the challenges posed by cyberattacks on big data systems and their corresponding mitigation strategies. The book is organized into logical chapters, each focusing on specific aspects of the subject, ensuring clarity and depth in addressing the multifaceted nature of the problem. The introductory chapter provides a clear overview of the problem, introducing the prevalence of cyberattacks on big data systems, the motivation for addressing these risks, and the goals of the book. It also outlines the goals of the book, such as identifying vulnerabilities, evaluating mitigation strategies, and proposing integrated solutions. The second chapter provides a detailed examination of cyberattacks, emphasizing their implications for big data systems. It systematically categorizes tools and techniques available for mitigating these risks, including identity and access management (IAM), symmetric data encryption, network firewalls, IDPS, data loss prevention (DLP), SIEM, DDoS protection, and big data backup and recovery strategies.

The book focuses on key mitigation techniques, such as IAM, encryption methods, network segmentation, firewalls, and intrusion detection systems. It also proposes an integrated cybersecurity model, combining these solutions for enhanced effectiveness against cyberattacks. The book also identifies research gaps and suggests areas for future research, such as adapting to emerging technologies and improving scalability in big data security frameworks. The book is a valuable resource for cybersecurity professionals, researchers, and practitioners aiming to address the unique challenges posed by cyberattacks on big data systems.

The book aims to equip various professionals with the knowledge and strategies necessary to address the vulnerabilities associated with cyberattacks on big data environments.

This book digs into the important confluence of cybersecurity and big data, providing insights into the ever-changing environment of cyber threats and solutions to protect these enormous databases. In the modern digital era, large amounts of data have evolved into the vital organs of businesses, providing the impetus for decision-making, creativity, and a competitive edge. Cyberattacks pose a persistent danger to this important resource since they can result in data breaches, financial losses, and harm to an organization''s brand.

Features of particular interest include:

a. Understanding the Threat Landscape: The book gives a complete review of the many different types of cyber threats that target big data, including data breaches, ransomware attacks, and insider threats.

b. Analysing Real-World Case Studies: The purpose of this section is to provide the reader with useful insights into the strategies, methods, and processes that cyber adversaries use via the in-depth examination of real-world assaults on big data.

c. Strategies for Risk Mitigation: This book provides a comprehensive and actionable approach to reducing the dangers of cyberattacks on large amounts of data. It encompasses a broad variety of tactics, including network protection, encoding, and access restrictions

d. Emerging Technologies: This section introduces readers to cutting-edge technologies and best practices for securing large data.

e. Compliance with Regulations: The book examines the regulatory environment that governs data protection and privacy, including the General Data Protection Regulation (GDPR), the California Consumer Privacy Act (CCPA), and industry-specific requirements.

f. Trends of the Future: This book covers current trends and issues in cybersecurity and gives forward-looking views into the future of big data security. This is done in recognition that the cybersecurity environment is always shifting and developing.

g. Contributors of Expertise: The book includes contributions from industry practitioners, data scientists, and cybersecurity specialists who have hands-on experience defending large data settings.

This book digs into the important confluence of cybersecurity and big data, providing insights into the ever-changing environment of cyber threats and solutions to protect these enormous databases. In the modern digital era, large amounts of data have evolved into the vital organs of businesses, providing the impetus for decision-making, creativity, and a competitive edge. Cyberattacks pose a persistent danger to this important resource since they can result in data breaches, financial losses, and harm to an organization''s brand.

Explore the transformative potential of the Internet of Things (IoT) within the unique context of Africa. This comprehensive work delves into the challenges, opportunities, and future trends of IoT, with a particular focus on Nigeria. Readers will discover a novel security framework and defense mechanisms tailored to address the specific needs and vulnerabilities of IoT systems in the African setting. Unlike traditional texts, this book provides a detailed case study approach, illustrating real-world applications and implications of IoT in Africa. It covers a wide range of topics, including the integration of IoT in agriculture, healthcare, and urban development, and highlights both technological advancements and socio-economic impacts.Intended for researchers, practitioners, policymakers, and students, this book offers valuable insights and practical solutions. It serves as an essential resource for anyone looking to understand the dynamic landscape of IoT in Africa and leverage its potential for sustainable development. Key uses of this book include guiding the implementation of IoT projects in developing regions, informing policy formulation, and fostering innovation in IoT security. By addressing the unique challenges faced in Africa, this work stands out as a pivotal reference for advancing IoT technology in similar environments globally.

This comprehensive book explores the challenges posed by cyberattacks on big data systems and their corresponding mitigation strategies. The book is organized into logical chapters, each focusing on specific aspects of the subject, ensuring clarity and depth in addressing the multifaceted nature of the problem. The introductory chapter provides a clear overview of the problem, introducing the prevalence of cyberattacks on big data systems, the motivation for addressing these risks, and the goals of the book. It also outlines the goals of the book, such as identifying vulnerabilities, evaluating mitigation strategies, and proposing integrated solutions. The second chapter provides a detailed examination of cyberattacks, emphasizing their implications for big data systems. It systematically categorizes tools and techniques available for mitigating these risks, including identity and access management (IAM), symmetric data encryption, network firewalls, IDPS, data loss prevention (DLP), SIEM, DDoS protection, and big data backup and recovery strategies.

The book focuses on key mitigation techniques, such as IAM, encryption methods, network segmentation, firewalls, and intrusion detection systems. It also proposes an integrated cybersecurity model, combining these solutions for enhanced effectiveness against cyberattacks. The book also identifies research gaps and suggests areas for future research, such as adapting to emerging technologies and improving scalability in big data security frameworks. The book is a valuable resource for cybersecurity professionals, researchers, and practitioners aiming to address the unique challenges posed by cyberattacks on big data systems.

The book aims to equip various professionals with the knowledge and strategies necessary to address the vulnerabilities associated with cyberattacks on big data environments.