Sustainable Development Using Private AI
eBook - ePub

Sustainable Development Using Private AI

Security Models and Applications

  1. 318 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Sustainable Development Using Private AI

Security Models and Applications

About this book

This book covers the fundamental concepts of private AI and its applications. It also covers fusion of Private AI with cutting-edge technologies like cloud computing, federated learning and computer vision.

Security Models and Applications for Sustainable Development Using Private AI reviews various encryption algorithms used for providing security in private AI. It discusses the role of training machine learning and Deep learning technologies in private AI. The book provides case studies of using private AI in various application areas such as purchasing, education, entertainment, medical diagnosis, predictive care, conversational personal assistants, wellness apps, early disease detection, and recommendation systems. The authors provide additional knowledge to handling the customer's data securely and efficiently. It also provides multi-model dataset storage approaches along with the traditional approaches like anonymization of data and differential privacy mechanisms.

The target audience includes undergraduate and postgraduate students in Computer Science, Information technology, Electronics and Communication Engineering and related disciplines. This book is also a one stop reference point for professionals, security researchers, scholars, various government agencies and security practitioners, and experts working in the cybersecurity Industry specifically in the R & D division.

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Yes, you can access Sustainable Development Using Private AI by Uma Maheswari V,Rajanikanth Aluvalu in PDF and/or ePUB format, as well as other popular books in Computer Science & Cyber Security. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2024
Print ISBN
9781032716725
eBook ISBN
9781040109670

Table of contents

  1. Cover
  2. Half Title
  3. Series
  4. Title
  5. Copyright
  6. Contents
  7. Preface
  8. About the Editors
  9. List of Contributors
  10. Chapter 1 A Research Study on Concepts and Applications of Artificial Intelligence: Governance in Smart Cities
  11. Chapter 2 Encryption and Decryption Algorithms in Private AI
  12. Chapter 3 Advancing Privacy in AI: Homomorphic Encryption and Private AI
  13. Chapter 4 AI-Driven Privacy Preservation Using Homomorphic Encryption with AM-ResNet Based Classification in Gastrointestinal Diseases
  14. Chapter 5 Cryptographic Security in Credit Card Fraud Detection Using Homomorphic Encryption with CRO Based Hybrid BL-GRU Classification
  15. Chapter 6 Private AI in Education: Critical Challenges and Aspects of Enhancement Strategies
  16. Chapter 7 A Model of Pre-Adoptive Appraisal toward Private AI Implementation in Public Sector Accounting Education in Higher Education Institutions
  17. Chapter 8 Recruitment and Staffing in Educational Sectors via Explainable AI and Blockchain
  18. Chapter 9 Private AI in Health Care: Technological Constraints, Future Directions, and Emerging Trends
  19. Chapter 10 Unlocking the Potential of Deep Learning in Knee Bone Cancer Diagnosis Using MSCSA-Net Segmentation and MLGC-LTNet Classification
  20. Chapter 11 Enhancing Image Forgery Detection on Social Media via GrabCut Segmentation and RA Based MobileNet with MREA for Data Security
  21. Chapter 12 Private AI in E-Commerce: Safeguarding Consumer Data in the Digital Marketplace
  22. Chapter 13 Private Artificial Intelligence (AI) in Social Media
  23. Chapter 14 Blockchain-Based Private AI Model with RPOA Based Sampling Method for Credit Card Fraud Detection
  24. Chapter 15 Breast Cancer Detection Using Mother Optimisation Algorithm Based Chaotic Map with Private AI Model
  25. Index