Cited by 33Security and Verification in ComputingAdvanced Malware Detection TechniquesDigital and Cyber Forensics

A methodology for determining the image base of arm-based industrial control system firmware

Zhu, Ruijin, Zhang, Baofeng, Mao, Junjie, Zhang, Quanxin, Tan, Yu-an·2017·International Journal of Critical Infrastructure Protection

Integrity signals

Registry

Crossref · 10.1016/j.ijcip.2016.12.002

Cites

17 of 17 references verified0 citation errors · 0 not checkable

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  • The NVD dataset contains common vulnerabilities in all domains and fails to focus on SCADA-specific vulnerabilities.

    “NVD dataset [71] contains common vulnerabilities in all domains that fail to focus on SCADA specific vulnerabilities.”

    From Architecture and security of SCADA systems: A review (2021) · cites this paper as [71]

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Authors
Zhu, R., Zhang, B., Mao, J., Zhang, Q., & Tan, Y.-A.
Affiliations
  • Beijing Institute of Technology (CN)
  • China Information Technology Security Evaluation Center (CN)
Corresponding author
Tan, Yu-an
Venue
International Journal of Critical Infrastructure Protection
Publisher
Elsevier BV
Published
2017-03
Volume
16
Pages
26-35
ISSN
1874-5482 (ISSN-L)
OpenAlex
W2569220913
Cited by
33
References
17
Citations by year
2025: 1 · 2024: 2 · 2023: 3 · 2022: 1 · 2021: 8 · 2020: 1 · 2019: 3 · 2018: 9 · 2017: 5
FWCI
2.94
Type
journal article
Language
en
Open access
closed
Locations
  • International Journal of Critical Infrastructure Protection (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Funders
National Natural Science Foundation of China
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Security and Verification in Computing
  • Physical Sciences › Computer Science › Signal Processing › Advanced Malware Detection Techniques
  • Physical Sciences › Computer Science › Information Systems › Digital and Cyber Forensics
Keywords
firmware reverse engineering, ARM architecture, industrial control systems, firmware security

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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