Today the number of users in cloud computing are increasing tremendously due to its advantage of
providing flexible storage requirement. Due to the high volume and velocity of big data, it is an effective option to
store big data in the cloud Attribute-Based Encryption (ABE) is a promising technique to ensure the end-to-end
security of big data in the cloud. However, the policy updating has always been a challenging issue when ABE is used
to construct access control schemes. A trivial implementation is to let data owners retrieve the data and re-encrypt it
under the new access policy, and then send it back to the cloud. This method, however, incurs a high communication
overhead and heavy computation burden on data owners. In this project, we propose a novel scheme that enabling
efficient access control with dynamic policy updating for big data in the cloud. We focus on developing an
outsourced policy updating method for ABE systems. This method can avoid the over flow of data by reusing
previously encrypted data with old access policies and also we propose the automatic encryption of the data by
using a single algorithm so it reduces the work complexity of the data owners and time consumption in decryption
part. The analysis shows that our policy updating outsourcing scheme is correct, complete, secure and efficient.