Hardware Logic Device for Remote Sensing Image Authentication
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Solution Overview
Problem
Remote sensing data from satellites can be tampered with during transmission, making it difficult for end-users to trust the authenticity of the images received, as attackers can intercept and alter the data, obscuring objects or modifying the content.
Innovation Solution
An imaging system that includes an imaging objective, an image sensor, and a hardware logic device directly coupled to the sensor, which generates a cryptographic signature based on the true image data, ensuring that signed images can be verified as genuine by downstream users, even if the platform is untrusted.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If remote sensing images are transmitted through multiple systems (satellite, ground station, processing systems), then the images can be processed and distributed to end users, but the images become vulnerable to interception and alteration by attackers
Solution Approach 1:
The patent applies preliminary action by generating cryptographic signatures at the source (imaging sensor or processing system) before the image data is transmitted through the distribution network. This ensures that the digital signature is embedded in the image data before it enters the vulnerable transmission channel, allowing downstream systems to verify authenticity without needing to trust intermediate systems.
Solution Approach 2:
The patent introduces cryptographic signatures as an intermediary mechanism that mediates between the image source and downstream users. The signature acts as a trusted intermediary that proves the image's origin and integrity, allowing users to verify authenticity without directly trusting the satellite or ground station systems.
2Reliability
If cryptographic signatures are generated for each image, then image authenticity can be verified, but the processing time and computational overhead increase
Solution Approach 1:
The cryptographic signature is generated in advance during the image capture or initial processing stage, rather than being created at each downstream processing point. This preliminary generation eliminates redundant computational overhead in the distribution network while maintaining verification capability.
Solution Approach 2:
The patent uses cryptographic hashing to create a compact digital signature (hash value) that is much smaller than the original image data. This copied representation allows for efficient storage and rapid verification without requiring processing of the entire image dataset.
3Reliability
If the hardware logic device is directly coupled to the imaging sensor, then the cryptographic signature is generated from true image data, but the system complexity increases
Solution Approach 1:
The patent merges the cryptographic signature generation function with the existing image processing hardware (imaging sensor or onboard processor). By combining these functions in a single hardware logic device directly coupled to the sensor, the system ensures that signatures are generated from authentic sensor data without adding separate external verification systems.
Solution Approach 2:
The imaging system performs self-service by generating its own cryptographic signatures internally using hardware logic devices coupled to the imaging sensor. This self-generated signature mechanism eliminates the need for external trusted third parties or complex distributed verification infrastructure.
Data Source
AI summary
A system for generating and authenticating remote sensing imagery includes a remote sensing platform. The remote sensing platform includes an imaging sensor and a hardware logic device that is directly coupled to the imaging sensor. The hardware logic device receives image data from the imaging sensor and generates a cryptographic signature based upon the image data. The hardware logic device outputs a signed image that includes the image data and the cryptographic signature. A computing device operated by a downstream user receives the signed image and can determine whether the image data has been modified from its original content based upon the cryptographic signature.