SecureStreams: A Reactive Middleware Framework for Secure Data Stream Processing
This addresses security concerns for developers deploying data stream processing in large-scale or multi-tenant cloud environments, though it appears incremental as it builds on existing technologies like reactive programming and SGX.
The paper tackles the challenge of integrating security into distributed data stream processing frameworks, introducing SecureStreams, a reactive middleware that combines reactive dataflow programming with Intel SGX to ensure privacy and integrity, achieving high processing throughput with a Lua-based scripting language.
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.