Dynamic Steganography for Source Tracking in Digital Content
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Solution Overview
Problem
Legacy techniques for securing documents fail to track the source of unauthorized content dissemination, as they are perceivable by humans and can be easily removed, lacking the ability to embed identifying information that remains intact in leaked content.
Innovation Solution
Dynamic steganography is used to encode user-specific attributes into content objects, making them undetectable to humans but recoverable by computerized methods, allowing the detection of the source of unauthorized disclosure from screen captures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If legacy watermarking techniques are used to indicate security levels, then document security is improved, but the ability to track source of unauthorized dissemination is lost because watermarks are perceivable and easily removed
Solution Approach 1:
The patent extracts the identifying information from visible watermarks and embeds it as invisible steganographic data within the content itself. This allows the source tracking information to be separated from the visual presentation, making it imperceptible to human viewers while remaining recoverable by computerized techniques for source identification.
Solution Approach 2:
The patent replaces the mechanical/optical approach of visible watermarks with a digital steganographic system. Instead of relying on human-perceivable visual markers, the system uses computerized embedding and recovery techniques to hide and retrieve source identifying information, substituting human visual detection with automated digital processing.
2Reliability
If visible watermarks are embedded in content, then security indication is improved, but the watermarks can be readily removed using imaging editing tools
Solution Approach 1:
The patent replaces visible optical watermarks with invisible digital steganographic embedding. The identifying information is integrated into the digital content at a level imperceptible to human viewers and resistant to traditional imaging editing tools, while remaining recoverable through specialized computerized extraction techniques.
Solution Approach 2:
The patent introduces computerized recovery techniques as an intermediary between the embedded identifying information and the source identification process. This intermediary layer protects the information by making it inaccessible through conventional means while allowing authorized recovery through specific computational methods.
3Loss of information
If steganographic information is embedded in content objects, then source tracking capability is improved, but computational resources and storage capacity are increased
Solution Approach 1:
The patent applies steganographic embedding only to specific identifying information rather than the entire content object. By embedding only the necessary source tracking data (such as user identifiers) rather than processing or protecting the full content, the system achieves source tracking capability while minimizing the additional computational and storage overhead.
4Reliability
If embedded identifying information is made hard-to-remove, then source tracking reliability is improved, but the embedded information may impact visual quality of the image
Solution Approach 1:
The patent embeds identifying information in localized regions or at specific bit planes of the digital content where the modifications are imperceptible to human vision. By concentrating the steganographic embedding in areas that do not affect overall visual quality, the system maintains both source tracking reliability and visual fidelity of the content.
Data Source
AI summary
Systems for forensic steganography. A server is interfaced with storage facilities that store an object accessible by two or more users, each of which users are associated with respective profiles comprising one or more user-specific attributes. A method detects a user request to view the object. User-specific attributes are encoded into a steganographic message, which is formatted for saving into one or more locations in the object, thus generating a protected object. The protected object is delivered to the requesting user. Encoding, application and formatting techniques are configured to make the steganographic message undetectable by human viewing of the protected object. A web crawler or other policing technique can detect misappropriation in the form of unauthorized dissemination by detecting the presence of the encoded steganographic message embedded in the protected object. Decoding the steganographic message reveals the user-specific attributes so as to identify the user who disseminated the protected object.


