Encrypted Visual Feedback Control Using RLWE-Based Cryptosystem
This work addresses the need for privacy-preserving control in visual feedback systems, but is incremental as it applies existing RLWE encryption to a specific control problem.
The paper proposes an encrypted visual feedback control algorithm using RLWE encryption that performs feature extraction and controller computations directly on encrypted images, protecting sensitive visual data. Numerical simulations demonstrate its effectiveness for regulating a one-dimensional stage.
This study proposes an encrypted visual feedback control algorithm for regulating a one-dimensional stage using Ring Learning With Errors (RLWE) encryption. The proposed algorithm performs both feature extraction and controller computations directly on encrypted images, ensuring that sensitive visual data remain protected throughout the entire control process. Furthermore, an image captured by the camera is encrypted into a single ciphertext leveraging the message packing technique of RLWE encryption, thereby reducing computational cost. The effectiveness of the proposed framework is demonstrated through numerical simulations.