Fully Homomorphic Encryption System for Secure Digital Control and Signal Processing Applications

The Challenge

Industrial control systems often rely on transmitting sensitive system parameters and signal data across local or cloud-based networks. Conventional encryption methods protect data only during transmission but require decryption before computation, exposing systems to potential breaches. As more organizations seek to adopt cloud architectures or connect with third-party compute services, ensuring privacy throughout both transmission and computation remains a significant barrier.

How It Works

This software, referred to as the EncryptedLTI-FHE Toolkit, implements a Fully Homomorphic Encryption (FHE) system designed to preserve data confidentiality throughout the entire computation lifecycle:

• Initializes an encryption scheme using tunable parameters including ciphertext modulus, fixed-point scaling factor, and noise bounds.

• Generates public and secret keys tailored to a fixed-point representation of digital control systems.

• Encrypts digital system signals and parameters (e.g., matrices, state vectors, control inputs).

• Supports homomorphic addition and matrix multiplication of encrypted values, enabling encrypted computation of system behavior such as output response or state estimation.

• Applies both Learning With Errors (LWE) and Gentry-Sahai-Waters (GSW) cryptographic methods.

• Performs secure operations including convolution, state updates, and filtering entirely in the encrypted domain without revealing underlying data.

Key Advantages

• Maintains privacy of control system data across both local and cloud-based infrastructures.

• Supports encrypted computation in real-time, linear time-invariant (LTI) systems.

• Eliminates the need to decrypt sensitive signals during processing, reducing exposure risk.

• Includes modular configuration options for security level and precision requirements.

• Enables homomorphic manipulation of matrices and higher-dimensional data for advanced control tasks.

Market Applications

• Industrial Automation: Secure processing of sensor data and control signals in production environments.

• Energy Systems: Privacy-preserving control and monitoring of critical infrastructure in power generation and distribution.

• Autonomous Systems: Encrypt navigation and sensor input processing for unmanned systems and robotics.

• Cloud-based Control Architectures: Secure delegation of control computations to third-party services without exposing system models or signals.

• IoT-Connected Monitoring Systems: Protect signal integrity and privacy in remote, connected sensing devices.

This software is under copyright. To purchase a license, please use the 'Contact Us' form on this page. We will respond as promptly as possible.