Multimedia Data Credibility Parsing for Authenticity Prompts
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Solution Overview
Problem
The spread of tampered multimedia data poses a security risk due to the ease of editing and synthesis, compromising the authenticity and integrity of information dissemination.
Innovation Solution
A data processing method that involves obtaining target data from a second device, parsing first information to obtain credibility indicators of the device, object, and generating prompt information based on these indicators to enhance the authenticity and security of data dissemination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If multimedia data is easily edited and synthesized, then data processing flexibility is improved, but data authenticity deteriorates
Solution Approach 1:
The patent embeds credibility information (device identifier, object identifier, scene information, timestamp) into the multimedia data at the source before dissemination. This preliminary action ensures that authenticity verification can be performed later without restricting editing flexibility, as the embedded metadata travels with the data through various processing stages.
Solution Approach 2:
The patent implements a feedback mechanism where the first device receives the multimedia data, extracts and verifies the embedded credibility information, generates verification results, and provides feedback to users about the data's authenticity. This feedback loop enables users to make informed decisions about the trustedworthiness of the processed data.
2Reliability
If credibility verification is performed on multimedia data, then data authenticity is improved, but processing complexity increases
Solution Approach 1:
The patent segments the credibility verification process into distinct components: extracting device identifier information, extracting object identifier information, extracting scene information, extracting timestamp information, and generating comprehensive verification results. This segmentation allows each verification aspect to be handled independently, reducing overall processing complexity.
Solution Approach 2:
The patent introduces an intermediary credibility information structure that carries verification data between the second device (source) and the first device (verification). This intermediary mechanism simplifies the verification process by providing a standardized format for credibility data, reducing the complexity of direct verification operations.
3Reliability
If credibility information is embedded in target data, then information integrity is improved, but data transmission volume increases
Solution Approach 1:
The patent embeds credibility information as metadata associated with specific portions of the multimedia data rather than duplicating verification data throughout the entire dataset. This local quality approach ensures that credibility information is attached where needed (in the data structure) without unnecessarily increasing overall transmission volume.
Data Source
AI summary
A data processing method includes: obtaining, by a first device, target data from a second device, the target data includes first information and second information; parsing, by the first device, the first information to obtain third information, the third information indicates a trustworthiness of the second device and/or a second object operating the second device and/or a scene generated by the second information; and generating, by the first device, prompt information based on the third information, in response to outputting the second information.