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Computer Science
Cybersecurity
Fraud Detection and Prevention
1. Introduction to Fraud
2. Data and Feature Engineering for Fraud Detection
3. Fraud Detection Methodologies
4. Machine Learning Models in Depth
5. Fraud Prevention Strategies
6. Operationalizing Fraud Systems
7. Legal, Ethical, and Regulatory Frameworks
8. Emerging Trends and Future Challenges
Fraud Prevention Strategies
Authentication and Identity Verification
Authentication Factors
Knowledge Factors
Passwords
PINs
Security Questions
Possession Factors
Hardware Tokens
Mobile Devices
Smart Cards
Inherence Factors
Fingerprints
Facial Recognition
Voice Recognition
Iris Scanning
Multi-Factor Authentication
Two-Factor Authentication
Three-Factor Authentication
Implementation Considerations
User Experience Balance
Risk-Based Authentication
Risk Scoring
Contextual Analysis
Adaptive Authentication
Step-Up Authentication
Digital Identity Verification
Document Verification
ID Document Analysis
Optical Character Recognition
Security Feature Detection
Biometric Verification
Liveness Detection
Template Matching
Anti-Spoofing Measures
Knowledge-Based Authentication
Static KBA
Dynamic KBA
Data Sources
System Security and Controls
Access Controls
Role-Based Access Control
Attribute-Based Access Control
Principle of Least Privilege
Privileged Access Management
Data Protection
Encryption at Rest
Database Encryption
File System Encryption
Key Management
Encryption in Transit
SSL/TLS Protocols
VPN Connections
Secure Communication Channels
Data Loss Prevention
Content Inspection
Policy Enforcement
Monitoring and Alerting
Application Security
Secure Coding Practices
Input Validation
Output Encoding
Error Handling
Security Testing
Static Analysis
Dynamic Analysis
Penetration Testing
Vulnerability Management
Vulnerability Scanning
Patch Management
Risk Assessment
Network Security
Firewalls
Network Firewalls
Application Firewalls
Next-Generation Firewalls
Intrusion Detection Systems
Network-Based IDS
Host-Based IDS
Signature-Based Detection
Anomaly-Based Detection
Network Segmentation
DMZ Implementation
VLAN Segmentation
Micro-Segmentation
Operational Controls
Transaction Controls
Velocity Limits
Transaction Frequency Limits
Amount Velocity Limits
Geographic Velocity Limits
Transaction Limits
Daily Limits
Monthly Limits
Per-Transaction Limits
Approval Workflows
Dual Authorization
Escalation Procedures
Override Controls
Monitoring and Alerting
Real-Time Monitoring
Transaction Monitoring
Behavioral Monitoring
System Monitoring
Alert Management
Alert Prioritization
Alert Routing
Alert Escalation
Incident Response
Response Procedures
Communication Plans
Recovery Processes
Segregation of Duties
Role Separation
Authorization Levels
Review and Approval Processes
Conflict of Interest Management
Customer Education and Awareness
Security Awareness Training
Phishing Awareness
Social Engineering Prevention
Password Security
Safe Online Practices
Communication Strategies
Security Notifications
Educational Content
Warning Systems
Feedback Mechanisms
Customer Support
Fraud Reporting Channels
Incident Response Support
Recovery Assistance
Prevention Guidance
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4. Machine Learning Models in Depth
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6. Operationalizing Fraud Systems