Emergent language based data encryption
Briefly, embodiments are directed to a system, method, and article for acquiring a symbol comprising a representation of input data. The symbol may be converted into an emergent language expression in an emergent language via processing of a first neural network. Transmission of the emergent language expression may be initiated over a communications network, where the emergent language comprises a language based on and specific to the input data. The emergent language expression may be translated back into the representation of the input data via processing of a second neural network.
1. A system for secure communication, comprising:
a trained agent to acquire a symbol comprising a representation of input data, convert the symbol into an emergent language expression in an emergent language via processing of a first neural network, and initiate transmission of the emergent language expression over a communications network, wherein the emergent language comprises a language based on and specific to the input data, wherein the first neural network is to generate the emergent language which is a new language that is not in existence that is used to represent the input data, wherein the emergent language is not based on a prime number factorization technique;
a trained machine translator to receive the emergent language expression via the communications network and translate the emergent language expression into the input data via processing of a second neural network.
2. The system of claim 1 , wherein the symbol comprises an image or a snippet of audio comprising the representation of the input data.
3. The system of claim 1 , wherein the input data comprises information indicating a status of an industrial asset.
4. The system of claim 1 , wherein the input data comprises a human language expression.
5. The system of claim 1 , further comprising an input agent to convert the input data into the symbol.
6. The system of claim 1 , wherein the trained machine translator is to translate the emergent language expression based on semantics of the symbol.
7. A method for secure communication, comprising:
acquiring a symbol comprising a representation of input data;
converting the symbol into an emergent language expression in an emergent language via processing of a first neural network, wherein the first neural network generates the emergent language which is a new language that is not in existence that is used to represent the input data;
initiating transmission of the emergent language expression over a communications network, wherein the emergent language comprises a language based on and specific to the input data;
translating the emergent language expression into the representation of input data via processing of a second neural network.
8. The method of claim 7 , further comprising presenting a human language expression on a display device.
9. The method of claim 7 , wherein at least one of the first and second neural networks comprises a long short-term memory (LSTM) neural network.
10. The method of claim 7 , wherein the symbol comprises an image or a snippet of audio comprising the representation of the input data.
11. The method of claim 7 , wherein the input data comprises information indicating a status of an industrial asset.
12. The method of claim 7 , wherein the translating of the emergent language expression is based on semantics of the symbol.
13. An article, comprising:
a non-transitory storage medium comprising machine-readable instructions executable by one or more processors to:
acquire a symbol comprising a representation of input data;
convert the symbol into an emergent language expression in an emergent language via processing of a first neural network, wherein the first neural network generates the emergent language which is a new language that is not in existence that is used to represent the input data;
initiating transmission of the emergent language expression over a communications network, wherein the emergent language comprises a language based on and specific to the input data;
translate the emergent language expression into the representation of input data expression via processing of a second neural network.
14. The article of claim 13 , wherein the machine-readable instructions are further executable by the one or more processors to initiate presentation of a human language expression on a display device.
15. The article of claim 13 , wherein at least one of the first and second neural networks comprises a long short-term memory (LSTM) neural network.
16. The article of claim 13 , wherein the symbol comprises an image or a snippet of audio comprising the representation of the input data.
17. The article of claim 13 , wherein the input data comprises information indicating a status of an industrial asset.
18. The article of claim 13 , wherein the input data comprises a human language expression.
19. The article of claim 13 , wherein the machine-readable instructions are further executable by the one or more processors to convert the input data into the symbol.
20. The article of claim 13 , wherein the machine-readable instructions are further executable by the one or more processors to translate the emergent language expression based on semantics of the symbol.