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Practical Secure Computation Outsourcing: A Survey

机译：实用的安全计算外包：一项调查

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摘要

The rapid development of cloud computing promotes a wide deployment of data and computation outsourcing to cloud service providers by resource-limited entities. Based on a pay-per-use model, a client without enough computational power can easily outsource large-scale computational tasks to a cloud. Nonetheless, the issue of security and privacy becomes a major concern when the customer's sensitive or confidential data is not processed in a fully trusted cloud environment. Recently, a number of publications have been proposed to investigate and design specific secure outsourcing schemes for different computational tasks. The aim of this survey is to systemize and present the cutting-edge technologies in this area. It starts by presenting security threats and requirements, followed with other factors that should be considered when constructing secure computation outsourcing schemes. In an organized way, we then dwell on the existing secure outsourcing solutions to different computational tasks such as matrix computations, mathematical optimization, and so on, treating data confidentiality as well as computation integrity. Finally, we provide a discussion of the literature and a list of open challenges in the area.
机译：云计算的快速发展促进了资源有限的实体将数据和计算外包广泛部署到云服务提供商。基于按使用付费的模型，没有足够计算能力的客户端可以轻松地将大规模计算任务外包给云。但是，当未在完全信任的云环境中处理客户的敏感或机密数据时，安全性和隐私性问题将成为主要问题。最近，已经提出了许多出版物来研究和设计用于不同计算任务的特定安全外包方案。本次调查的目的是系统化并介绍该领域的前沿技术。首先介绍安全威胁和要求，然后介绍构建安全计算外包方案时应考虑的其他因素。然后，我们以一种有组织的方式专注于现有的安全外包解决方案，以解决不同的计算任务，例如矩阵计算，数学优化等，从而处理数据机密性和计算完整性。最后，我们提供了有关文献的讨论以及该领域的公开挑战清单。

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