ReverSim: An Open-Source Environment for the Controlled Study of Human Aspects in Hardware Reverse Engineering

Hardware Reverse Engineering (HRE) is a technique for analyzing integrated circuits.Experts employ HRE for security-critical tasks, like detecting Trojans or intellectual property violations, relying not only on their experience and customized tools but also on their cognitive abilities.In this work, we introduce ReverSim, a software environment that models key HRE subprocesses and integrates standardized cognitive tests.ReverSim enables quantitative studies with easier-to-recruit non-experts to uncover cognitive factors relevant to HRE.We empirically evaluated ReverSim in three studies.Semi-structured interviews with 14 HRE professionals confirmed its comparability to real-world HRE processes.Two online user studies with 170 novices and intermediates revealed effective differentiation of participant performance across a spectrum of difficulties, and correlations between participants' cognitive processing speed and task performance.ReverSim is available as open-source software, providing a robust platform for controlled experiments to assess cognitive processes in HRE, potentially opening new avenues for hardware protection.

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Published
2025-04-25
DOI
https://doi.org/10.1145/3706598.3714160
Primary Topic
Cell Image Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

ReverSim: An Open-Source Environment for the Controlled Study of Human Aspects in Hardware Reverse Engineering

Steffen Becker, René Walendy, Carina Wiesen, Christof Paar et al.
Cell Image Analysis Techniques
article

ReverSim: An Open-Source Environment for the Controlled Study of Human Aspects in Hardware Reverse Engineering

Steffen Becker, René Walendy, Carina Wiesen, Christof Paar, Nikol Rummel, Markus Weber
article en

Abstract

Hardware Reverse Engineering (HRE) is a technique for analyzing integrated circuits.Experts employ HRE for security-critical tasks, like detecting Trojans or intellectual property violations, relying not only on their experience and customized tools but also on their cognitive abilities.In this work, we introduce ReverSim, a software environment that models key HRE subprocesses and integrates standardized cognitive tests.ReverSim enables quantitative studies with easier-to-recruit non-experts to uncover cognitive factors relevant to HRE.We empirically evaluated ReverSim in three studies.Semi-structured interviews with 14 HRE professionals confirmed its comparability to real-world HRE processes.Two online user studies with 170 novices and intermediates revealed effective differentiation of participant performance across a spectrum of difficulties, and correlations between participants' cognitive processing speed and task performance.ReverSim is available as open-source software, providing a robust platform for controlled experiments to assess cognitive processes in HRE, potentially opening new avenues for hardware protection.

Max Planck Institute for Security and Privacy (DE), Ruhr University Bochum (DE)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 93%
Cell Image Analysis Techniques
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