Method and system for sequencing asset segments of privacy policy

A system (100), comprising:

• an input/output interface (106);
• one or more memories (104);
• and
• one or more hardware processors (102), the one or more memories (104) coupled to the one or more hardware processors (102), wherein the one or more hardware processors (102) are configured to execute programmed instructions stored in the one or more memories (104), to:
• receive an input associated with a privacy policy of a source entity, via a one or more hardware processors, the input comprising of a plurality of asset segments and a plurality of constraints, wherein the plurality of constraints comprises one or more preferences associated with the source entity and one or more preferences associated with a target entity;
• generate a feasible sequence for the plurality of asset segments, by the one or more hardware processors, through a feasible sequence generation technique based the one or more preferences associated with the source entity, a set of pre-defined predecessors of each asset segment and a set of pre-defined successors of each asset segment, where the feasible sequence comprises one or more sub-sequences, wherein the feasible sequence generation technique comprises of:
• generate a set of revised predecessors for each of the asset segment and a set of revised successors for each of the asset segment using the pre-defined predecessors of the plurality of asset segments, the set of pre-defined successors of the plurality of asset segments and the one or more preferences associated with the source entity based on a predecessor and successor generation technique;
• and
• generate a set of feasible sequences for the plurality of asset segments using the set of revised predecessors, the set of revised successors and the one or more preferences associated with the source entity based a feasible sequence technique;
• and
• generate a final sequence for the plurality of asset segments, by the one or more hardware processors, through a sequence generation technique using the feasible sequences based on the one or more preferences associated with the target entity and the one or more preferences associated with the source entity.

A non-transitory computer-readable medium having embodied thereon a computer readable, wherein the computer readable program, when executed by one or more hardware processors, cause:

• receiving an input associated with a privacy policy of a source entity, via a one or more hardware processors, the input comprising of a plurality of asset segments and a plurality of constraints, wherein the plurality of constraints comprises one or more preferences associated with the source entity and one or more preferences associated with a target entity;
• generating a feasible sequence for the plurality of asset segments, by the one or more hardware processors, through a feasible sequence generation technique based the one or more preferences associated with the source entity, a set of pre-defined predecessors of each asset segment and a set of pre-defined successors of each asset segment, where the feasible sequence comprises one or more sub-sequences, wherein the feasible sequence generation technique comprises of:
• generating a set of revised predecessors for each of the asset segment and a set of revised successors for each of the asset segment using the pre-defined predecessors of the plurality of asset segments, the set of pre-defined successors of the plurality of asset segments and the one or more preferences associated with the source entity based on a predecessor and successor generation technique;
• and
• generating a set of feasible sequences for the plurality of asset segments using the set of revised predecessors, the set of revised successors and the one or more preferences associated with the source entity based a feasible sequence technique;
• and
• generating a final sequence for the plurality of asset segments, by the one or more hardware processors, through a sequence generation technique using the feasible sequences based on the one or more preferences associated with the target entity and the one or more preferences associated with the source entity.