The Implication of Cyberattacks on Big Data and How to Mitigate the Risk: 39 - Rilegato

Alaba, Fadele Ayotunde; Rocha, Alvaro

Rilegato

ISBN 10: 3031885694 ISBN 13: 9783031885693

Casa editrice: Springer-Nature New York Inc, 2025

Riassunto

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.

Su questo libro

Informazioni sull'autore

Fadele Ayotunde Alaba (PhD) is a Nigerian computer scientist, academic, and internationally published researcher with over a decade of experience in teaching, research, and academic leadership. He is a full-time lecturer in the Department of Computer Science at the Federal University of Education, Zaria, Nigeria, where he has held several strategic administrative positions, including Head of Department and Director of the Information and Communication Technology (ICT) Unit. He is also a visiting lecturer at St. Francis of Assisi College of Education, Wusasa, Zaria. Currently, Dr. Fadele is a post-doctoral fellow at the Instituto de Estudos e Desenvolvemento de Galicia (IDEGA), Spain. Dr. Fadele holds multiple advanced qualifications in Computer Science, including doctoral degrees from the University of Malaya, Malaysia, and the International University, Bamenda. His academic training and research focus span cybersecurity, Internet of Things (IoT), artificial intelligence, blockchain technology, smart contracts security, big data analytics, and cloud computing. Dr. Ilesanmi G. Ajibola is a distinguished academic at the Federal University of Education, Zaria, Nigeria. He holds a Ph.D. in Systematic Theology from Duquesne University, Pittsburgh, Pa. USA, where he had also served as a teaching assistant and course instructor. For five years, he is been the director of TETFund Centre of Excellence for Technology Enhanced Learning at the institution. His research interests encompass educational diversification, systematic theology, and exploring the intersection of digital technology and educational practices in the humanities. Dr. Ajibola has authored several books, articles, and papers addressing religious education and ICT integration. He advocates for strategic investments in ICT infrastructure, mandatory training for educators and students, with the aim to bridge the digital divide and promote equitable access to educational technologies.

Dalla quarta di copertina

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.

Dettagli dell'edizione

• Editore: Springer-Nature New York Inc
• Data di pubblicazione: 2025
• Lingua: Inglese
• ISBN 10: 3031885694
• ISBN 13: 9783031885693
• Rilegatura: Copertina rigida
• Numero di pagine: 120
• Contatto del produttore: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Germania