LazyFrog: Advancing Security and Efficiency in Commercial Wireless Charging with Adaptive Frequency Hopping

Area of Science:

• Electrical Engineering
• Computer Science
• Cybersecurity

Background:

• Wireless power transfer (WPT) is crucial for electronic devices and electric mobility.
• Securing WPT against unauthorized access and power theft is a significant challenge.
• Current WPT security focuses on efficiency and convenience, often neglecting robust security integration.

Purpose of the Study:

• To address hardware demands for billing authentication in WPT.
• To prevent signal interception and power theft in wireless charging systems.
• To develop a secure, flexible, and energy-efficient WPT mechanism.

Main Methods:

• Proposed the LazyFrog mechanism with dynamic frequency hopping based on threat detection.
• Implemented a comparison of expected vs. actual power reception to detect anomalies.
• Integrated a relative distance estimation for efficient power transfer during device movement.

Main Results:

• LazyFrog minimizes unnecessary frequency changes, reducing hardware requirements and energy consumption.
• The system effectively detects abnormal power losses and unauthorized access attempts.
• Relative distance estimation improves power transfer efficiency in dynamic environments.

Conclusions:

• LazyFrog offers a secure, flexible, and energy-efficient solution for wireless charging.
• The mechanism is suitable for practical application in wireless charging infrastructure.
• Addresses key challenges in WPT security and resource management.