Animal Steganography via Motor Sequence Embedding
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Solution Overview
Problem
Current technologies lack an effective method to implement steganography using an individual's mind and body as a storage mechanism for covertly passing information, particularly in a way that embeds hidden messages within motor sequences and extracts them reliably.
Innovation Solution
A machine and system comprising modules for behavioral sequencing, visual guidance, and feedback to train individuals to embed and extract hidden messages within their motor actions, using visual, audio, and haptic cues to create and decode sequences that convey information without digital storage or wireless signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If digital information is passed through memory circuits or wireless signals, then information transmission is efficient and reliable, but security and covert communication are compromised
Solution Approach 1:
The patent introduces a human subject as an intermediary carrier between sender and receiver. The hidden message is embedded in the subject's motor sequence through training, and the subject naturally transmits this information through their body movements without digital intermediaries, thereby achieving secure covert communication while maintaining transmission reliability
Solution Approach 2:
The patent replaces electronic/digital information storage and transmission systems with a biological system - specifically, the human motor system. Instead of using memory circuits or wireless signals, the hidden message is stored in and transmitted through the subject's motor sequences, substituting mechanical/electronic systems with biological processes for enhanced security
2Object-affected harmful factors
If hidden messages are embedded in motor sequences, then covert communication is achieved, but extraction reliability and accuracy are challenging
Solution Approach 1:
The patent implements feedback mechanisms where the subject's motor sequence performance is monitored and compared against the trained pattern. This feedback loop allows for verification and correction, ensuring that the extracted hidden message accurately reflects the original embedded information while maintaining the covert nature of communication
Solution Approach 2:
The patent employs preliminary training action to embed the hidden message in the subject's motor sequence before actual communication occurs. This pre-training phase ensures that when extraction is needed, the motor sequence already contains the precisely encoded information, facilitating accurate retrieval without compromising covert communication
3Loss of information
If behavioral sequencing is used to embed messages in the brain, then covert information storage is achieved, but training complexity and time requirements increase
Solution Approach 1:
The patent uses periodic training sessions to embed the hidden message in the subject's motor sequence. By distributing training over multiple periodic intervals rather than continuous intensive training, the method achieves effective covert information storage while reducing the total time investment and making the process more manageable
Solution Approach 2:
The patent applies partial training action focused specifically on the motor sequences needed to carry the hidden message, rather than training the entire motor system. This targeted approach embeds the covert information effectively while minimizing the time and effort required, avoiding excessive training beyond what is necessary for the specific communication task
Data Source
AI summary
A machine and its modules assist in steganography for an animal. A steganography module applies behavioral sequencing to create a cover message and a hidden message to covertly pass information from one animal to another animal, with the information embedded in an individual's brain. A visual module references the steganography module to cause a sequence of visual images on a display screen to guide a motor sequence of an individual as the cover message as well as detect and communicate a timing of the individual's motor sequence, relative in timing, to visual images in the sequence of visual images being displayed on the display screen, in order to train in the cover message and hidden message. The hidden message is then extracted at a destination from a sensor monitoring the individual's sequence of motor actions.