ISBN: 978-81-689670-0-7
AUTHOR DETAILS: ER. ANUJ KUMAR, DR. G. VIJAYA KUMAR, DR MOHAMMED ASIF UR RAHMAN
CHAPTER 1: INTRODUCTION TO AI-DRIVEN FRAUD DETECTION AND FINANCIAL CRIME PREVENTION
CHAPTER 2: FOUNDATIONS OF ARTIFICIAL INTELLIGENCE FOR FRAUD ANALYTICS
CHAPTER 3: CLOUD COMPUTING ARCHITECTURES FOR SECURE DIGITAL ECOSYSTEMS
CHAPTER 4: INTERNET OF THINGS IN FINANCIAL AND E-COMMERCE ENVIRONMENTS
CHAPTER 5: E-COMMERCE TRANSACTION ECOSYSTEMS AND FRAUD RISKS
CHAPTER 6: DATA ENGINEERING FOR REAL-TIME FRAUD DETECTION
CHAPTER 7: MACHINE LEARNING MODELS FOR FRAUD DETECTION
CHAPTER 8: DEEP LEARNING FOR ADVANCED FINANCIAL CRIME ANALYSIS
CHAPTER 9: REAL-TIME FRAUD DETECTION FRAMEWORKS
CHAPTER 10: AI-BASED FINANCIAL CRIME PREVENTION TECHNIQUES
CHAPTER 11: CLOUD-INTEGRATED SECURITY AND THREAT INTELLIGENCE
CHAPTER 12: BLOCKCHAIN AND DISTRIBUTED LEDGER TECHNOLOGIES FOR FRAUD PREVENTION
CHAPTER 13: USER BEHAVIOR ANALYTICS AND DIGITAL IDENTITY MANAGEMENT
CHAPTER 14: CYBERSECURITY STRATEGIES FOR IOT AND E-COMMERCE SYSTEMS
CHAPTER 15: ADVANCED PAYMENT FRAUD DETECTION SYSTEMS
CHAPTER 16: IMPLEMENTING AI MODELS FOR FRAUD DETECTION
CHAPTER 17: BLOCKCHAIN TECHNOLOGIES
CHAPTER 18: ARTIFICIAL INTELLIGENCE IN FRAUD DETECTION: ETHICAL AND PRIVACY CONSIDERATIONS