An improved scheme for outsourced computation with attribute-based encryption
An improved scheme for outsourced computation with attribute-based encryption
复制标题
基于属性加密的外包计算改进方案
DOI：
10.1002/cpe.4833
复制
发表时间：
2019-11-10
影响因子：
2
通讯作者：
Ma, Jixin
中科院分区：
文献类型：
--
作者：
Yang, Haining;Sun, Jiameng;Ma, Jixin
随着云计算的广泛部署，将复杂的计算任务外包给云服务提供商受到了越来越多的关注。越来越多具有计算受限设备的客户端选择将其繁重的任务外包给云服务器，以减少本地的计算开销。然而，由于商业云服务器不受信任，如何保持计算结果的完整性成为一个挑战。公开可验证性是一种有效的机制，允许客户端验证服务器返回的结果的完整性。由于结果在许多应用中是敏感的，这就提出了公开验证过程中的隐私泄露问题。在本文中，我们提出了一种有效的可验证计算方案，同时保证了输出的保密性。该方案实现了盲可验证性，使得没有附加信息(检索密钥)的验证者可以在不学习结果的情况下验证结果的完整性。此外，通过结合(k，n)-门限共享，我们的方案允许客户端共同学习结果。
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.