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.
@article{arxiv.1805.01752,
title = {SecureStreams: A Reactive Middleware Framework for Secure Data Stream Processing},
author = {Aurélien Havet and Rafael Pires and Pascal Felber and Marcelo Pasin and Romain Rouvoy and Valerio Schiavoni},
journal= {arXiv preprint arXiv:1805.01752},
year = {2018}
}