Real-Time Encryption and Secure Communication for Sensor Data in Autonomous Systems

Abstract

In modern autonomous systems, the secure transmission of sensor data plays a pivotal role in ensuring the safety and privacy of operations. This study explores a secure communication framework for transmitting sensor data, such as camera, lidar, and radar, using advanced encryption techniques. We implement an encryption and decryption system based on AES GCM mode to ensure data confidentiality and integrity during transmission. The performance of the system is evaluated through key metrics including encryption time, decryption time, transmission counts, and data size for each sensor type. Visualizations are presented to analyze the relationship between these factors and to evaluate the system’s efficiency. The system’s effectiveness is demonstrated by simulating data transmissions with different transmission counts for each sensor, showing the scalability and robustness of the encryption scheme for real-time applications.