An improved scheme for outsourced computation with attribute-based encryption

作者：Yang, Haining; Sun, Jiameng; Qin, Jing^*; Ma, Jixin

来源：Concurrency and Computation: Practice and Experience (CCPE) , 2019, 31(21): e4833.

DOI：10.1002/cpe.4833

• blind verifiability
• cloud computing
• KP-ABE
• verifiable computation

With the wide deployment of cloud computing, outsourcing complicated computational tasks to cloud service providers has attracted much attention. An increasing number of clients with computationally constrained devices choose to outsource their heavy tasks to cloud servers to reduce the computational overhead in local. However, how to preserve the integrity of computational results becomes a challenge since commercial cloud servers are not trusted. Public verifiability is an effective mechanism to allow clients to verify the integrity of the results returned by the servers. Because the results are sensitive in many applications, it raises the problem of privacy leakage in the public verification process. In this paper, we propose an efficient verifiable computation scheme while keeping output privacy. The proposed scheme achieves blind verifiability such that the verifiers who have not the additional information (retrieve key) can verify the integrity of the result without learning the result. Furthermore, by combining with (k,n)-threshold sharing, our scheme allows the clients jointly learn the results.

• 出版日期2019-11-10
• 单位中国科学院信息工程研究所; 信息安全国家重点实验室; 山东大学