SecureStreams：一个安全数据流处理的反应式中间件框架
SecureStreams: A Reactive Middleware Framework for Secure Data Stream Processing
摘要：
分布式数据处理框架在各种各样的应用领域中的日益普及，对安全性等属性的端到端集成提出了挑战，特别是在考虑在大规模集群或多租户云基础设施的背景下进行部署时。因此，本文介绍了SecureStreams，一个反应式中间件框架部署和处理安全流的规模。它的设计结合了高级反应式轻量级编程范例和英特尔的低级软件防护扩展（SGX），以保证处理数据的隐私性和完整性。SecureStreams的实验结果很有希望：在提供基于Lua的流畅脚本语言的同时，我们的中间件提供了高处理吞吐量，从而使开发人员能够在几行代码中实现安全的处理管道。
英文摘要：
The growing adoption of distributed data processing frameworks in a wide diversity of application domains challenges end-to-end integration of properties like security, in particular when considering deployments in the context of large-scale clusters or multi-tenant Cloud infrastructures. This paper therefore introduces SecureStreams, a reactive middleware framework to deploy and process secure streams at scale. Its design combines the high-level reactive dataflow programming paradigm with Intel's low-level software guard extensions (SGX) in order to guarantee privacy and integrity of the processed data. The experimental results of SecureStreams are promising: while offering a fluent scripting language based on Lua, our middleware delivers high processing throughput, thus enabling developers to implement secure processing pipelines in just few lines of code.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
