Voter Data Analysis using Attribute based Encryption

In Cloud Storage Services (CSS) to achieving data privacy the Attribute Based Encryption (ABE) schemes face number of essential challenges. The existence of a single authority is one of the crucial tasks for attributes management. Second task is the shortage of an ef�cient characteristic revocation mechanism that prohibits an unauthorized access without delay after an attribute revocation is requested. The third task is the avoidance of the usage of attribute revocation scenario as a mechanism for user revocation. In this paper, a sturdy established multi-authority attributes management device is provided to conquer those demanding situations for CSS. The proposed gadget can be carried out the usage of either Ciphertext Policy ABE (CP-ABE) or Key Policy ABE (KP-ABE) approach that possesses a speci�c set of characteristics. In addition, the proposed gadget presents a novel structure for consumer virtual identity that prohibits the collusion among gadget customers. Moreover, the proposed gadget does not oblige cooperation among the participated attributes government to accomplish any of the proposed system responsibilities. Furthermore, the attributes government can join or leave the proposed machine without mandating the proposed system reinitialization. Finally, the presented performance measures prove the proposed system validity to perform all the speci�ed dreams with perfect performance.