Efficient Pairing Computation for Attribute Based Encryption Using MBNR for Big Data in Cloud

In cloud computing computational paradigm, the main objective is to incorporate efficient access control and confidentiality services on accessing Big Data in storage perspective. Several Attribute Based Encryption (ABE) schemes have emerged in this perspective and served the purpose. Most of the attribute based encryption schemes use bilinear pairing approach for computation. High computational complexity in bilinear pairing implementation is making the algorithm insufficient. In order to cope up with these complexity issues, point halving technique with Multi-Base Number Representation (MBNR) is recommended for efficient computation of field operations. And at the same time an enhancement of Tate pairing using MBNR is recommended for significant improvement of pairing computation.