Cyber Security in Business Analytics
Series: Artificial Intelligence, Machine Learning, Data Analytics and Automation for Business Management;
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Product details:
- Edition number 1
- Publisher Chapman and Hall
- Date of Publication 30 September 2025
- ISBN 9781032859415
- Binding Hardback
- No. of pages220 pages
- Size 234x156 mm
- Language English
- Illustrations 59 Illustrations, black & white; 1 Halftones, black & white; 58 Line drawings, black & white; 23 Tables, black & white 700
Categories
Short description:
This book explores addressing the growing need for insights and practical experiences in this evolving field of cybersecurity for business analytics.
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Long description:
There is a growing need for insights and practical experiences in the evolving field of cyber security for business analytics a need addressed by Cyber Security in Business Analytics. Divided into sections covering cyber security basics, artificial intelligence (AI) methods for threat detection, and practical applications in e-commerce and e-banking, the book's team of experts provides valuable insights into securing business data and improving decision-making processes. It covers topics such as data privacy, threat detection, risk assessment, and ethical considerations, catering to both technical and managerial audiences.
• Presents real-case scenarios for enhancing understanding of how cyber security principles are applied in diverse organizational settings
• Offers advanced technologies such as artificial intelligence methods for cyber threat detection, offering readers
• Provides a detailed exploration of howAI can make cybersecurity better by helping detect threats, unusual activities, and predict potential risks
• Focuses on the convergence of cyber security and data-driven decision-making and explores how businesses can leverage analytics while safeguarding sensitive information
• Includes insights into cutting-edge techniques in the field, such as detailed explorations of various cyber security tools within the context of business analytics
Cyber Security in Business Analytics will be useful for scholars, researchers and professionals of computer science and analytics.
MoreTable of Contents:
1. Introduction to Learning Methods for Business Analytics 2. Emerging Cyber Security Challenges in the Business World 3. Cyber Security Issues and Challenges in E-shopping/E-commerce 4. Knowledge Representation of Various Business Models 5. Reactive vs. Proactive Cybersecurity & Real-Time Threat Protection 6. Exploring the Importance of Incident Management in Modern Organizations 7. Issues and Challenges in E-banking: Case Study 8. Cyber Security of Machine Learning Systems for Business Data 9. Privacy-Preserving Deep Learning Techniques for Business Big Data 10. Navigating Cybersecurity Tools: A Comprehensive Guide from Entry to Expert Level 11. Improving Cybersecurity Measures in Business Analytics for E-Commerce Platforms in Africa: Cyber Laws, Challenges, and Solutions 12. Optimizing User Engagement with Personalized Recommendations and Targeted Advertising
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