The Implication of Cyberattacks on Big Data and How to Mitigate the Risk: DE (Information Systems Engineering and Management, Band 39) - Softcover

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Fadele Ayotunde Alaba works with the Department of Computer Science, Federal College of Education, Zaria. He is researching with several global awards in the IoT and security domain. He received a Bachelor of Computer Science (First Class Honours) from Nasarawa State University, Keffi, Nasarawa State, Nigeria, in 2008. He then received a Post Graduate Diploma in Education (PGDE) from Usman Danfodio University, Sokoto State, Nigeria, in 2012. He received a Master of Computer Science from Ahmadu Bello University, Zaria, Kaduna State, Nigeria, in 2014. Finally, he received a Ph.D. in Computer Science from the University of Malaya, Malaysia (QS WUR-65). He is an active reviewer of several top journals including Future Generation Computer Systems (FGCS), Information Systems, Journal of Network and Computer Applications (JNCA), IEEE Wireless Communications, and International Journal of Environmental Science and Technology. Álvaro Rocha is World's Top 1% Scientist by Stanford University (USA) and Elsevier and World's Top 1% Scientist by Research Gate for the domains of Information Science and Information Systems. He is a professor at ISEG, University of Lisbon, invited professor at the University of Calabria, honorary professor at Amity University, chair of ITMA-Information and Technology Management Association, founder and vice-chair of IEEE SMC Portugal Chapter, and book series scientific manager at Springer-Nature. He holds the title of Honorary Professor and holds a D.Sc. in Information Science, Ph.D. in Information Systems and Technologies, M.Sc. in Information Management, and BCs in Computer Science. He is an integrated researcher at the ADVANCE (the ISEG Centre for Advanced Research in Management), and a collaborator researcher at CINTESIS (Center for Research in Health Technologies and Information Systems).

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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.