Abstract: For lingual transformation-based encryption, a method parses communication data into lingual units. The method further generates a validation nonce from the lingual units. In addition, the method generates a transform unit for each lingual unit by applying a lingual message transformation to each lingual unit as an encryption function of a selection rule.

Abstract: For multi-node encryption, a method communicates communication data from a first upstream node to a first downstream node in response to the first upstream node initiating secure communication with the first downstream node. The method further generates a downstream node nonce from communication data exchanged with the first downstream node. The method generates a first downstream message transformation as a function of the downstream node nonce. The method receives a request encrypted with the first downstream message transformation through the first downstream node. The method communicates the upstream message transformation encrypted with the first downstream message transformation through the first downstream node to the destination node in response to the request. In addition, the method generates a tunnel transformation at the destination node as a function of one or more upstream message transformations and the first downstream message transformation.

Abstract: For lingual transformation-based encryption, a method parses communication data into lingual units. The method further generates a validation nonce from the lingual units. In addition, the method generates a transform unit for each lingual unit by applying a lingual message transformation to each lingual unit as an encryption function of a selection rule.

Abstract: For lingual transformation-based encryption, a method parses a secure message into lingual units. The method further generates a validation nonce from the lingual units. In addition, the method generates a transform unit for each lingual unit by applying a lingual message transformation to each lingual unit as an encryption function of a selection rule.

Abstract: For multi-node encryption, a method communicates communication data from a first upstream node to a first downstream node in response to the first upstream node initiating secure communication with the first downstream node. The method further generates a downstream node nonce from communication data exchanged with the first downstream node. The method generates a first downstream message transformation as a function of the downstream node nonce. The method receives a request encrypted with the first downstream message transformation through the first downstream node. The method communicates the upstream message transformation encrypted with the first downstream message transformation through the first downstream node to the destination node in response to the request. In addition, the method generates a tunnel transformation at the destination node as a function of one or more upstream message transformations and the first downstream message transformation.

Abstract: For multi-node encryption, a method generates an upstream node nonce from communication data exchanged with an upstream node. In addition, the method generates a first upstream message transformation as a function of the upstream node nonce. The method further generates a tunnel transformation as a function of previous upstream message transformations and the first upstream message transformation.

Abstract: For multi-node encryption, a method generates an upstream node nonce from communication data exchanged with an upstream node. In addition, the method generates a first upstream message transformation as a function of the upstream node nonce. The method further generates a tunnel transformation as a function of previous upstream message transformations and the first upstream message transformation.

Abstract: For lingual transformation-based encryption, a method parses a secure message into lingual units. The method further generates a validation nonce from the lingual units. In addition, the method generates a transform unit for each lingual unit by applying a lingual message transformation to each lingual unit as an encryption function of a selection rule.