Highway to HAL: open-sourcing the first extendable gate-level netlist reverse engineering framework

Sebastian Wallat, Nils Albartus, Steffen Becker, Max Hoffmann, Maik Ender, Marc Fyrbiak, Adrian Drees, Sebastian Maaßen, C. Paar
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引用次数: 15

Abstract

Since hardware oftentimes serves as the root of trust in our modern interconnected world, malicious hardware manipulations constitute a ubiquitous threat in the context of the Internet of Things (IoT). Hardware reverse engineering is a prevalent technique to detect such manipulations. Over the last years, an active research community has significantly advanced the field of hardware reverse engineering. Notably, many open research questions regarding the extraction of functionally correct netlists from Field Programmable Gate Arrays (FPGAs) or Application Specific Integrated Circuits (ASICs) have been tackled. In order to facilitate further analysis of recovered netlists, a software framework is required, serving as the foundation for specialized algorithms. Currently, no such framework is publicly available. Therefore, we provide the first open-source gate-library agnostic framework for gate-level netlist analysis. In this positional paper, we demonstrate the workflow of our modular framework HAL on the basis of two case studies and provide profound insights on its technical foundations.
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高速公路HAL:开源第一个可扩展的门级网络列表逆向工程框架
由于硬件通常是我们现代互联世界中信任的基础,因此恶意硬件操作在物联网(IoT)环境中构成了无处不在的威胁。硬件逆向工程是检测此类操作的常用技术。在过去的几年里,一个活跃的研究团体已经显著地推进了硬件逆向工程领域。值得注意的是,许多关于从现场可编程门阵列(fpga)或专用集成电路(asic)中提取功能正确的网络列表的开放性研究问题已经得到解决。为了便于进一步分析恢复的网络列表,需要一个软件框架,作为专门算法的基础。目前,没有这样的框架是公开可用的。因此,我们提供了第一个用于门级网络列表分析的开源门库不可知论框架。在这篇论文中,我们在两个案例研究的基础上展示了我们的模块化框架HAL的工作流程,并对其技术基础提供了深刻的见解。
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