Secure microwave communication based on electrical-domain chaos masking and deep learning synchronization

Key Points

• Secure microwave communication is achieved through chaos masking, enhancing signal protection.
• Key evidence shows that electrical-domain chaos masking improves synchronization accuracy by 30%.
• This approach utilizes deep learning synchronization methods to maintain secure connections between devices.
• The findings highlight the potential for deep learning methods to secure critical communication infrastructures.