Watermark Detection Circumvention via Segmented Steganalyzer
Solution Overview
Problem
Current watermark detection systems are expensive in terms of computing resources and can be easily circumvented by attackers, leading to revenue loss for content owners in the digital content industry.
Innovation Solution
A circumvention module that employs techniques such as input-location and interference, resource starvation, input-overload, and decoy methods to confuse or distract the watermark detector, making it less likely to detect embedded signals in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If dynamic watermark detection is performed in real-time on small electronic components, then content protection capability is improved, but computing resource consumption increases significantly
Solution Approach 1:
The patent segments the watermark detection task by separating the detector into two parts: a lightweight steganalyzer component that runs on small electronic components for basic detection, and a more complex watermark identifier that runs on remote servers for detailed analysis. This segmentation allows real-time detection capability on resource-constrained devices while offloading heavy computational tasks to powerful remote systems, thus resolving the contradiction between content protection capability and computing resource consumption.
2Adaptability or versatility
If multiple dynamic watermark detection modules are run for multiple input streams, then detection coverage is improved, but computing resource expense increases with each additional module
Solution Approach 1:
The patent implements a universal detector architecture where a single steganalyzer component can handle multiple input streams simultaneously. The steganalyzer is designed to be stream-agnostic, capable of processing audio, video, or other data streams through a common interface. This multi-functional design allows the system to maintain broad detection coverage across multiple streams without requiring separate dedicated modules for each stream, thereby reducing overall computing resource expenses while preserving adaptability.
3Stability of the object's composition
If robust watermark embedding is used to survive signal processing and attacks, then watermark durability is improved, but susceptibility to attacker identification increases
Solution Approach 1:
The patent applies local quality by implementing different detection strategies for different types of watermarks and different attack scenarios. The steganalyzer uses adaptive detection methods that adjust their sensitivity and approach based on the specific characteristics of the embedded watermark and the suspected type of attack. This localized approach allows the system to maintain high watermark durability for legitimate watermarks while reducing susceptibility to identification by attackers, as the detector does not uniformly apply the same robust detection across all cases.
Data Source
AI summary
Described herein is a technology facilitating circumvention of dynamic and robust detection of one or more embedded-signals (e.g., watermark, copyright notice, encoded data, etc.) in one or more input carrier signals (e.g., multimedia stream, video stream, audio stream, data, radio, etc.). This abstract itself is not intended to limit the scope of this patent. The scope of the present invention is pointed out in the appending claims.