OffSim-CBDC

OffSim-CBDC is an agent-based simulation platform designed to study offline Central Bank Digital Currency (CBDC) ecosystems. The simulator models users, merchants, transactions, synchronization mechanisms, and fraud scenarios in disconnected environments.

Key features include:

• Offline transaction simulation
• Double-spending attack scenarios
• Merchant behavior modeling
• Fraud detection datasets generation
• Machine learning integration
• Performance and resilience evaluation

Technologies: Python, Mesa, Machine Learning, CBDC.