Encoded Video Sequence Signing for Frame Tamper Detection
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Solution Overview
Problem
Existing methods for digitally signing encoded video sequences are vulnerable to unauthorized manipulation, such as insertion, removal, or replacement of video frames, without effective detection mechanisms.
Innovation Solution
A method and device for signing encoded video sequences by associating them with a supplemental information unit consisting of a document, a document signature, and an indication of the unit's end, ensuring any tampering is detectable by validating the document's authenticity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If digital signatures are applied to video sequences using conventional methods, then authentication and integrity protection are provided, but the system remains vulnerable to unauthorized manipulation such as insertion, removal, or replacement of video frames without effective detection
Solution Approach 1:
The video sequence is divided into individual video frames, and each frame is independently signed with a digital signature. This segmentation allows each frame to be individually authenticated and detected for manipulation, rather than treating the entire video sequence as a single unit. The patent applies this by generating separate signatures for I-frames and P-frames, enabling granular integrity verification.
Solution Approach 2:
Digital signatures are generated and attached to each video frame in advance, before the video sequence is transmitted or stored. This preliminary signing ensures that any subsequent manipulation of video frames can be detected during playback or verification, as the signatures serve as pre-established authentication markers that cannot be altered without detection.
2Reliability
If comprehensive signing mechanisms are implemented to detect all types of frame manipulation, then security is improved, but system complexity and computational overhead increase
Solution Approach 1:
Different digital signature generation methods are applied to different types of video frames based on their specific characteristics. I-frames (intra-coded frames) use one signing approach, while P-frames (inter-coded frames) use another approach that considers their predictive nature. This localized differentiation optimizes security for each frame type without unnecessarily complicating the overall system.
Solution Approach 2:
The signing mechanism adapts its parameters based on the frame type being processed. For I-frames, the signing process considers independent frame data, while for P-frames, it incorporates reference to previous frames and prediction information. This parameter adaptation allows the system to maintain comprehensive detection capability while managing complexity through context-aware processing.
Data Source
AI summary
A device and a method of signing an encoded video sequence comprising: obtaining an encoded video sequence composed of encoded image frames; generating a set of one of more frame fingerprints for each encoded image frame; generating a document comprising a header of a supplemental information unit, and a representation of the generated sets of one or more frame fingerprints; generating a document signature by digitally signing the document; generating the supplemental information unit to only consist of the document, the document signature and an indication of an end of the supplemental information unit; and signing the encoded video sequence by associating the generated supplemental information unit with the encoded video sequence.


