A scheme supporting efficient attribute revocation for cloud storage based on CPABE
Cai Bodong, Xiong LiaoTe, Ye Junyan, Meng Ma, Zhuo Tang · Advances in intelligent systems research/Advances in Intelligent Systems Research · 2014
For low efficient of key management, most cloud centers lack fine-grained attribute revocation, which only support revocation of the keys.This paper proposes a novel access policy which supporting fine-grained attributes revocation based on CP-ABE.In this paper, we firstly redesign the key manage policy.The generation and distribubition of the user's private keys are completed by the collaboration of the data owner and attribute authority and it has reduced the cost of the key management.Secondly we embed a random parameter ED x when publish the master key.Through the embeddoor, this scheme can control the access authority of users for who have lost the authority to acess the cloud data.Then, we can gurantee the security of keys based on the designed mechanism of binary tree.Our approach can achieve high performance and can also deal with fine-grained attribute revocation.Finally, the security of this policy has been proved under the standard model.