Verkauf durch Sack Fachmedien

Ramesh / H L / J

Cyber Security in Business Analytics

Medium: Buch
ISBN: 978-1-032-85941-5
Verlag: Taylor & Francis Ltd
Erscheinungstermin: 01.10.2025
vorbestellbar, Erscheinungstermin ca. Oktober 2025

This book explores addressing the growing need for insights and practical experiences in this evolving field of cybersecurity for business analytics. Divided into sections covering cybersecurity basics, AI methods for threat detection, and practical applications in e-commerce and e-banking, it 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 to enhancing understanding of how cybersecurity principles are applied in diverse organizational settings

• Provides a detailed exploration of how Artificial intelligence can make cybersecurity better by helping detect threats, unusual activities, and predict potential risks

• With a focus on the convergence of cyber security and data-driven decision-making, it explores how businesses can leverage analytics while safeguarding sensitive information

• Offers Advanced technologies such as artificial intelligence methods for cyber threat detection, offering readers

• Includes insights into cutting-edge techniques in the field, such as detailed explorations of various cyber security tools within the context of business analytic

The book will be useful for scholars, researchers and professionals of computer science and analytics.


Produkteigenschaften



Themen


Autoren/Hrsg.

Herausgeber

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