System and method for generating cryptographic signature for artificial intelligent generated content

A system for multi-agent communication using a cryptographic signature, the system comprising:

• a memory that stores a first neural network model and a plurality of processor executable instructions;
• a communication interface that receives an input for the first neural network model;
• and
• one or more hardware processors that read and execute the plurality of processor-executable instructions from the memory to perform operations comprising:
• receiving, by the first neural network model employing a plurality of state parameters and implemented on one or more processors, a first output content generated by a second neural network model;
• generating, by the first neural network model, a second output content in response to the first output content as an input of the first neural network model;
• generating, by the first neural network model, a string of Hash values based on the second output content;
• creating, by the first neural network model, a cryptographic signature by encrypting the string of Hash values and one or more state parameters of the first neural network model using a private key;
• embedding, by the first neural network model, the cryptographic signature in the second output content;
• and
• transmitting, by the first neural network model via a communication interface, the second output content embedded with the cryptographic signature to the second neural network model at a destination server.

A non-transitory machine-readable medium comprising a plurality of machine-executable instructions for encrypted multi-agent communication which, when executed by one or more processors, are adapted to cause the one or more processors to perform operations comprising:

• receiving, by a first neural network model employing a plurality of state parameters and implemented on one or more processors, a first output content generated by a second neural network model;
• generating, by the first neural network model, a second output content in response to the first output content as an input of the first neural network model;
• generating, by the first neural network model, a string of Hash values based on the second output content;
• creating, by the first neural network model, a cryptographic signature by encrypting the string of Hash values and one or more state parameters of the first neural network model using a private key;
• embedding, by the first neural network model, the cryptographic signature in the second output content;
• and
• transmitting, by the first neural network model via a communication interface, the second output content embedded with the cryptographic signature to the second neural network model at a destination server.