标题:An improved scheme for outsourced computation with attribute-based encryption
作者:Yang, Haining; Sun, Jiameng; Qin, Jing; Ma, Jixin
通讯作者:Qin, J;Qin, Jing
作者机构:[Yang, Haining; Sun, Jiameng; Qin, Jing] Shandong Univ, Sch Math, Jinan 250100, Shandong, Peoples R China.; [Qin, Jing] Chinese Acad Sci, Inst Infor 更多
会议名称:13th International Conference on Information Security Practice and Experience (ISPEC) / 3rd International Symposium on Security and Privacy in Social Networks and Big Data (SocialSec)
会议日期:DEC 13-15, 2017
来源:CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
出版年:2019
卷:31
期:21
DOI:10.1002/cpe.4833
关键词:blind verifiability; cloud computing; KP-ABE; verifiable computation
摘要: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.
收录类别:CPCI-S;EI;SCIE
资源类型:会议论文
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