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