SecureStreams: A Reactive Middleware Framework for Secure Data Stream Processing

Abstract

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.

arXiv commentBarcelona, Spain, June 19-23, 2017, 10 pages

References in corpus (2)

• Enhancing Cyber Threat Hunting -- A Visual Approach with the Forensic Visualization Toolkit
• Secure Content-Based Routing Using Intel Software Guard Extensions

Cited by in corpus (3)

• Security, Performance and Energy Trade-offs of Hardware-assisted Memory Protection Mechanisms
• PubSub-SGX: Exploiting Trusted Execution Environments for Privacy-Preserving Publish/Subscribe Systems
• Distributed systems and trusted execution environments: Trade-offs and challenges