Secure and Verifiable Policy Update Outsourcing for Big Data Access Control in Cloud
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2016-07-22T08:36:33Z
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Abstract
Nowadays the number of users in cloud computing are increasing enormously 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 capable 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, a novel scheme is proposed that enables efficient access control with dynamic policy updating for big data in the cloud. It also focuses on developing an outsourced policy updating method for ABE systems. This method can avoid the transmission of encrypted data and minimize the computation work of data owners, by making use of the previously encrypted data with old access policies. Moreover, it proposes a policy updating algorithms for different types of access policies. Finally, an efficient and secure method is developed that allows data owner to check whether the cloud server has updated the cipher texts correctly. The analysis shows that our policy updating outsourcing scheme is correct, complete, secure and efficient.
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Secure and Verifiable Policy Update Outsourcing for Big Data Access Control in Cloud, Saurabh Kumar, Shahn Sayeed, Shariq Hussain, Shubham Saraf