BEERR: Bench of Embedded system Experiments for Reproducible Research

Paul Olivier, Xuan-Huy Ngo,Aurélien Francillon

2022 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW)(2022)

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摘要
Reproducing experiments is a key component to further research and knowledge. Testbeds provide a controlled and configurable environment in which experiments can be conducted in a repeatable and observable manner. In the field of system security, and binary analysis, several challenges hinder reproducible research, in particular when code is interacting tightly with low level hardware and physical devices. In those conditions, dynamic analysis techniques often require the physical device to correctly complete (hardware-in-the-loop). In recent years many re-hosting techniques have been developed and evaluating their respective performance requires to compare them with an hardware-in-the-loop evaluation. However, it is challenging to share, acquire or maintain the original devices. In this paper, we tackle this problem by proposing a new infrastructure, and online service called “Bench of Embedded system Experiments for Reproducible Research” (BEERR). It aims to both make physical devices available remotely and facilitate the setup and reproduction of published experiments.
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关键词
security,dynamic analysis,embedded systems,reproducible research,hardware-in-the-loop
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