Detecting Vulnerabilities in Embedded Systems via Taint Analysis: A Survey

Embedded systems are plagued by various security vulnerabilities that can lead to severe attacks. Therefore, it is crucial to detect and mitigate these vulnerabilities quickly and accurately. In this paper, we survey existing research on vulnerability detection in embedded systems, with taint analysis as the central perspective. Specifically, we describe and categorize embedded systems, highlight the challenges posed by embedded systems for taint analysis, examine state-of-the-art techniques, and categorize dozens of tools in this field. Our goal is to provide stakeholders with a better understanding of potential solutions to enhance the security and reliability of embedded systems. Finally, we predict and discuss some future directions for taint analysis in embedded systems.

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Publication Details

Journal
ACM Computing Surveys
Published
2026-08-18
DOI
https://doi.org/10.1145/3841632
Primary Topic
Advanced Malware Detection Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Detecting Vulnerabilities in Embedded Systems via Taint Analysis: A Survey

Qiuping Yi, Jian Zhang, Guohao Wu, Hongliang Liang et al.
ACM Computing Surveys
Advanced Malware Detection Techniques
article

Detecting Vulnerabilities in Embedded Systems via Taint Analysis: A Survey

Qiuping Yi, Jian Zhang, Guohao Wu, Hongliang Liang, Ce Wang, Luming Yin
article en

Abstract

Embedded systems are plagued by various security vulnerabilities that can lead to severe attacks. Therefore, it is crucial to detect and mitigate these vulnerabilities quickly and accurately. In this paper, we survey existing research on vulnerability detection in embedded systems, with taint analysis as the central perspective. Specifically, we describe and categorize embedded systems, highlight the challenges posed by embedded systems for taint analysis, examine state-of-the-art techniques, and categorize dozens of tools in this field. Our goal is to provide stakeholders with a better understanding of potential solutions to enhance the security and reliability of embedded systems. Finally, we predict and discuss some future directions for taint analysis in embedded systems.

ACM Computing Surveys
Beijing University of Posts and Telecommunications (CN), Fudan University (CN), Institute of Software (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 8%
Advanced Malware Detection Techniques
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