Enabling a signal chain Trust Framework from point of creation
The Data Provenance evaluation program creates a complete Trust Framework enabling developers to create innovative signal chain based services anchored in trust.
System-level Security - Data Provenance
Enhance trust in data from the far edge
Analog Devices Data Provenance evaluation program creates a complete Trust Framework enabling developers to create innovative signal chain based services anchored in trust. This is acheived by creating an immutable record of the data at point of creation, which is accessible for verification at the point where the data is used. We are committed to helping our customers more rapidly deploy connected, smart solutions that elevate their impact in the world.
Traditional Sensor Trust
Traditional sensor designs may use secure network elements to secure the transport layer but they lack mechanisms to ensure the integrity & trustability of the transmitted sensor data. Without validation, sensor outputs can be manipulated or spoofed, posing serious security risks. As systems rely on sensor data, this inherent vulnerability in traditional designs becomes increasingly critical to address.
Sensor with Provenance
Modern sensor designs incorporate built-in cryptographic security and metadata, enabling verification of data authenticity and integrity. By embedding digital signatures and contextual metadata, these sensors ensure tamper resistance and traceability. This approach significantly enhances trust, making sensor data reliable for critical applications in connected and security-sensitive environments.
Quick Start
Additional Resources
- For questions about using the Data Provenance SDK Evaluation Program , visit the EngineerZone community.
- For bugs or feature requests, submit an issue on the GitHub project.