Reproducibility of Firmware Analysis: An Empirical Study


연구 분야: Analysis



학회: International Symposium on Business Modeling and Software Design


초록

Firmware analysis methods are crucial for IoT security, yet their reproducibility-the ability to replicate results in subsequent research-has not been thoroughly examined. This study addresses this gap by empirically analyzing the reproducibility of three methods in two key applications of firmware analysis: third-party library identification and binary image base determination. We then evaluate the original studies on each of these methods, using two reproducibility assessment techniques, providing insights into the challenges and opportunities related to reproducibility in firmware analysis. Our findings highlight the current reproducibility status of these methods and offer guidance for improving the reliability of research in this field.


Author Profile
Andrei Costin

University of Jyväskylä Jyväskylä Finland

Finland
Author Profile
Narges Yousefnezhad

Binare.io Jyväskylä Finland

British Indian Ocean Territory

📄 논문 정보

발행 연도 2024년
인용수 0
출판 국가 British Indian Ocean Territory, Finland
사이트 Springer
좋아요 수 0

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