Overview
- Provides recent research on the impact of Cyber Security on Digitalization and Business Intelligence
- Serves as a guide in Digitalization, Cyber Security & Privacy for supply chain 4.0
- Presents recent research on intelligent and automated computing systems on business operations
Part of the book series: Studies in Big Data (SBD, volume 117)
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Table of contents (34 chapters)
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Big Data
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Cyber Security
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Business Digitalization
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Artificial Intelligence
Keywords
About this book
This book takes a unique approach by exploring the connection between cybersecurity, digitalization, and business intelligence. In today's digital landscape, cybersecurity is a crucial aspect of business operations. Meanwhile, organizations continue to leverage digital technologies for their day-to-day operations. They must be aware of the risks associated with cyber-attacks and implement robust cybersecurity measures to protect their assets. It provides practical insights and solutions to help businesses better understand the impact of cybersecurity on their digitalization and business intelligence strategies. It provides practical insights and solutions for implementing cybersecurity measures in organizations and covers a wide range of topics, including threat intelligence, risk management, compliance, cloud security, and IoT security. The book takes a holistic approach and explores the intersection of cybersecurity, digitalization, and business intelligence and examines the possible challenges and opportunities.
Editors and Affiliations
Bibliographic Information
Book Title: Cyber Security Impact on Digitalization and Business Intelligence
Book Subtitle: Big Cyber Security for Information Management: Opportunities and Challenges
Editors: Haitham M. Alzoubi , Muhammad Turki Alshurideh, Taher M. Ghazal
Series Title: Studies in Big Data
DOI: https://doi.org/10.1007/978-3-031-31801-6
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024
Hardcover ISBN: 978-3-031-31800-9Published: 04 January 2024
Softcover ISBN: 978-3-031-31803-0Due: 04 February 2024
eBook ISBN: 978-3-031-31801-6Published: 03 January 2024
Series ISSN: 2197-6503
Series E-ISSN: 2197-6511
Edition Number: 1
Number of Pages: X, 598
Number of Illustrations: 5 b/w illustrations, 29 illustrations in colour
Topics: Data Engineering, Computational Intelligence, Big Data