Table of Contents:
  • Preface
  • Chapter 1. Machine Learning Models for Detecting Software Vulnerabilities
  • Chapter 2. The Internet of Things: An Intelligent and Secure Path Approach for Cyber Critical Infrastructure
  • Chapter 3. Generative AI for Visualization
  • Chapter 4. The Role of Artificial Intelligence in Risk Management: Practices of the Banking Sector
  • Chapter 5. Unveiling the Potential of Generative Approaches in AI-Infused Web Development for Design, Testing, and Maintenance
  • Chapter 6. Hardware Vulnerabilities: Taxonomy and Business Security Models
  • Chapter 7. Does Artificial Intelligence With Blockchain Reduce the Costs of the Financial Sector?
  • Chapter 8. Harnessing Generative AI for Enhanced Web Application Security
  • Chapter 9. Ethical Concerns in Artificial Intelligence (AI): The Role of Governance Mechanism in Finance
  • Chapter 10. The Challenges for E-Commerce Using AI Applications
  • Chapter 11. The Role of Generative AI in Enhancing Web Engineering Efficiency and Business Innovation
  • Chapter 12. Security Concerns: Machine Learning Approaches in the Modern Era and Web Engineering
  • Chapter 13. Introduction to Machine Learning Models for Web Engineering Concepts
  • Chapter 14. Generative AI-Driven Security Frameworks for Web Engineering: Innovations and Challenges
  • Chapter 15. Introduction to Generative AI in Web Engineering: Concepts and Applications
  • Chapter 16. Exploring Security Challenges in Generative AI for Web Engineering
  • Chapter 17. Generative AI for Web Engineering Models in Physical Therapy
  • Chapter 18. AI-Powered Threat Detection in Business Environments: Strategies and Best Practices
  • Chapter 19. Generative AI and Web Applications: Addressing Security Issues and Challenges
  • Chapter 20. Generative AI With Natural Language Processing for the Web
  • Chapter 21. Generative AI in Web Application Development: Enhancing User Experience and Performance
  • Compilation of References
  • About the Contributors
  • Index.