SecureMR:使用同态加密和程序分区的安全mapreduce

Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming Pub Date : 2018-02-10 DOI:10.1145/3178487.3178520

Yao Dong, Ana L. Milanova, Julian T Dolby

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引用次数: 1

摘要

在云计算中，客户将数据和计算上传到云提供商。当他们将数据交给云提供商时，他们可能会放弃数据机密性。我们开发了SecureMR，一个分析和转换MapReduce程序以对加密数据进行操作的系统。SecureMR使用部分同态加密和可信客户端。我们在一组MapReduce基准上评估SecureMR。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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SecureMR: secure mapreduce using homomorphic encryption and program partitioning

In cloud computing customers upload data and computation to cloud providers. As they cede their data to the cloud provider, they may cede data confidentiality. We develop SecureMR, a system that analyzes and transforms MapReduce programs to operate over encrypted data. SecureMR makes use of partially homomorphic encryption and a trusted client. We evaluate SecureMR on a set of MapReduce benchmarks.

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Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming

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