RT-Trust: Automated Refactoring for Trusted Execution Under Real-Time Constraints
Real-time systems must meet strict timeliness requirements. These systems also often need to protect their critical program information (CPI) from adversarial interference and intellectual property theft. Trusted execution environments (TEE) execute CPI tasks on a special-purpose processor, thus providing hardware protection. However, adapting a system written to execute in environments without TEE requires partitioning the code into the regular and trusted parts. This process involves complex manual program transformations that are not only laborious and intellectually tiresome, but also hard to validate and verify for the adherence to real-time constraints. To address these problems, this paper presents novel program analyses and transformation techniques, accessible to the developer via a declarative meta-programming model. The developer declaratively specifies the CPI portion of the system. A custom static analysis checks CPI specifications for validity, while probe-based profiling helps identify whether the transformed system would continue to meet the original real-time constraints, with a feedback loop suggesting how to modify the code, so its CPI can be isolated. Finally, an automated refactoring isolates the CPI portion for TEE-based execution, communicated with through generated calls to TEE API. We have evaluated our approach by successfully enabling the trusted execution of the CPI portions of several microbenchmarks and a drone autopilot. Our approach shows the promise of declarative meta-programming in reducing the programmer effort required to adapt systems for trusted execution under real-time constraints.
Tue 6 NovDisplayed time zone: Guadalajara, Mexico City, Monterrey change
15:30 - 17:00 | |||
15:30 30mTalk | Anomaly Analyses for Feature-Model Evolution GPCE 2018 Michael Nieke TU Braunschweig, Germany, Jacopo Mauro University of Southern Denmark, Christoph Seidl Technische Universität Braunschweig, Thomas Thüm University of Ulm, Ingrid Chieh Yu University of Oslo, Felix Franzke TU Braunschweig | ||
16:00 30mTalk | Regenerate: A Language Generator for Extended Regular Expressions GPCE 2018 DOI Pre-print | ||
16:30 30mTalk | RT-Trust: Automated Refactoring for Trusted Execution Under Real-Time Constraints GPCE 2018 |