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PubSub-SGX: Exploiting Trusted Execution Environments for Privacy-Preserving Publish/Subscribe Systems

机译:PubSub-SGX:为保存隐私的发布/订阅系统开发受信任的执行环境

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This paper presents PUBSUB-SGX, a content-based publish-subscribe system that exploits trusted execution environments (TEEs), such as Intel SGX, to guarantee confidentiality and integrity of data as well as anonymity and privacy of publishers and subscribers. We describe the technical details of our Python implementation, as well as the required system support introduced to deploy our system in a container-based runtime. Our evaluation results show that our approach is sound, while at the same time highlighting the performance and scalability trade-offs. In particular, by supporting just-in-time compilation inside of TEEs, Python programs inside of TEEs are in general faster than when executed natively using standard CPython.
机译:本文介绍了PUBSUB-SGX,这是一个基于内容的发布-订阅系统,它利用可信执行环境(TEE)(例如英特尔SGX)来保证数据的机密性和完整性,以及发布者和订阅者的匿名性和隐私性。我们描述了Python实现的技术细节,以及在基于容器的运行时中部署我们的系统所需的系统支持。我们的评估结果表明,我们的方法是正确的,同时强调了性能和可伸缩性之间的权衡。特别是,通过支持TEE内部的即时编译,TEE内部的Python程序通常比使用标准CPython本地执行时更快。

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