A digital twin-assisted framework for secure task offloading in adaptive vehicular edge computing system

Key Points

• Secure task offloading improves system efficiency, and enhances safety with optimized algorithms.
• The framework utilizes digital twin technology to ensure efficient data management, maintaining real-time updates.
• Assessment of the system shows significant enhancements in computational resource allocation over traditional methods.
• This approach may enable broader applications in smart city infrastructure, indicating the need for further integration.