Method and system for enabling privacy in an application using fully homomorphic encryption

A system for enabling privacy in an application using fully homomorphic encryption (FHE), comprising:

• one or more memories;
• one or more hardware processors;
• an input/output interface;
• and
• the one or more memories coupled to the one or more hardware processors, wherein the one or more hardware processors are configured to execute programmed instructions stored in the one or more memories to:
• receive the application, a set of input data to the application, a set of constraints and a user requirement, wherein the set of input data are indicative of one or more functions performed by the application, the set of constraints are indicative of functional performance and cost of the application, and the user requirement is indicative of an optimization task to be performed as per a user's requirement;
• generate, a set of inter-connected meta models based on an abstract data type (ADT) technique, wherein the set of inter-connected meta models comprises a plurality of meta model trees, wherein each of the plurality of meta model trees comprises a plurality of nodes that indicate a fully homomorphic encryption (FHE) library, a FHE functionality associated with the FHE library and an optimal configuration of the associated FHE functionality;
• generate a set of instance models for the application based on the set of constraints using the set of inter-connected meta models, wherein each of the set of instance models comprises an FHE library, the FHE functionality associated with the FHE library and the optimal configuration of the associated FHE functionality identified from the meta models based on the set of constraints;
• optimize each of the set of instance models based on the optimization task to obtain a decision for each of the set of constraints, wherein the optimization task is identified from a set of optimization tasks based on the user requirement, the set of optimization tasks comprises one of a multi objective-multi constraint optimization task and a single objective-multi constraint optimization task;
• identify a pre-defined number of optimal instance models from the set of instance models using a ranking technique, wherein the ranking technique is performed based the set of constraints;
• and
• display an optimal instance model, wherein the optimal instance model is indicative of the privacy preservation using FHE to be enabled in the application.

A computer program product comprising a non-transitory computer readable medium having a computer readable program embodied therein, wherein the computer readable program, when executed on a computing device, causes the computing device to

• receive the application, a set of input data to the application, a set of constraints and a user requirement, wherein the set of input data are indicative of one or more functions performed by the application, the set of constraints are indicative of functional performance and cost of the application, and the user requirement is indicative of an optimization task to be performed as per a user's requirement;
• generate, a set of inter-connected meta models based on an abstract data type (ADT) technique, wherein the set of inter-connected meta models comprises a plurality of meta model trees, wherein each of the plurality of meta model trees comprises a plurality of nodes that indicate a fully homomorphic encryption (FHE) library, a FHE functionality associated with the FHE library and an optimal configuration of the associated FHE functionality;
• generate a set of instance models for the application based on the set of constraints using the set of inter-connected meta models, wherein each of the set of instance models comprises an FHE library, the FHE functionality associated with the FHE library and the optimal configuration of the associated FHE functionality identified from the meta models based on the set of constraints;
• optimize each of the set of instance models based on the optimization task to obtain a decision for each of the set of constraints, wherein the optimization task is identified from a set of optimization tasks based on the user requirement, the set of optimization tasks comprises one of a multi objective-multi constraint optimization task and a single objective- multi constraint optimization task;
• identify a pre-defined number of optimal instance models from the set of instance models using a ranking technique, wherein the ranking technique is performed based the set of constraints;
• and
• display an optimal instance model, wherein the optimal instance model is indicative of the privacy preservation using FHE to be enabled in the application.