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 o...
详细信息
ISBN:
(数字)9783031885709
ISBN:
(纸本)9783031885693;9783031885723
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 provides a structured roadmap for managers, researchers, and policymakers to navigate the evolving landscape, offering insights into brand perception, financial decision-making, corporate transparency, and g...
详细信息
ISBN:
(数字)9783031907425
ISBN:
(纸本)9783031907418;9783031907449
This book provides a structured roadmap for managers, researchers, and policymakers to navigate the evolving landscape, offering insights into brand perception, financial decision-making, corporate transparency, and governance. Deepfake technology is reshaping industries, raising critical ethical, managerial, and regulatory challenges. Bringing together interdisciplinary research, it blends statistical analysis, structural equation modeling, and bibliometric approaches to explore real-world applications and mitigation strategies. With case studies spanning hospitality, sports, education, and SMEs, the book equips professionals with tools to detect, manage, and ethically engage with deepfake advancements. An essential resource for academics, business leaders, and policymakers, it fosters informed decision-making in an era of digital deception.
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