The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
An Experimental Security Analysis of an Industrial Robot Controller
Open accessAbstract
Industrial robots, automated manufacturing, and efficient logistics processes are at the heart of the upcoming fourth industrial revolution. While there are seminal studies on the vulnerabilities of cyber-physical systems in the industry, as of today there has been no systematic analysis of the security of industrial robot controllers. We examine the standard architecture of an industrial robot and analyze a concrete deployment from a systems security standpoint. Then, we propose an attacker model and confront it with the minimal set of requirements that industrial robots should honor: precision in sensing the environment, correctness in execution of control logic, and safety for human operators. Following an experimental and practical approach, we then show how our modeled attacker can subvert such requirements through the exploitation of software vulnerabilities, leading to severe consequences that are unique to the robotics domain. We conclude by discussing safety standards and security challenges in industrial robotics.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Guide to Industrial Control Systems (ICS) Security
Stouffer, K., Pillitteri, V., Lightman, S., Abrams, M., & Hahn, A. (2015) · doi:10.6028/nist.sp.800-82r2 · Cited by 1,377 · cited 7×
“Taking advantage of new interconnections to compromise devices originally designed to work in isolation is a pattern already observed, for instance, in the automotive [4], [5] and industrial control system (ICS) sectors.”
BackgroundInfluential
Cited by
Hentout, A., Aouache, M., Maoudj, A., & Akli, I. (2019) · Advanced Robotics · doi:10.1080/01691864.2019.1636714 · Cited by 462
An Experimental Analysis of Security Vulnerabilities in Industrial IoT Devices
Jiang, X., Lora, M., & Chattopadhyay, S. (2020) · ACM Transactions on Internet Technology · doi:10.1145/3379542 · Cited by 101
Trusted AI in Multiagent Systems: An Overview of Privacy and Security for Distributed Learning
Ma, C., Li, J., Wei, K., Liu, B., Ding, M., Yuan, L., Han, Z., & Vincent Poor, H. (2023) · Proceedings of the IEEE · doi:10.1109/jproc.2023.3306773 · Cited by 96
Securing SCADA-based Critical Infrastructures: Challenges and Open Issues
Tariq, N., Asim, M., & Khan, F. A. (2019) · Procedia Computer Science · doi:10.1016/j.procs.2019.08.086 · Cited by 56
Analyzing Cyber-Physical Threats on Robotic Platforms
Ahmad Yousef, K., AlMajali, A., Ghalyon, S., Dweik, W., & Mohd, B. (2018) · Sensors · doi:10.3390/s18051643 · Cited by 42
Metadata
- Authors
- Quarta, D., Pogliani, M., Polino, M., Maggi, F., Zanchettin, A. M., & Zanero, S.
- Venue
- 2017 IEEE Symposium on Security and Privacy (SP)
- Publisher
- IEEE
- Published
- 2017-05
- Pages
- 268-286
- ISSN
- 1081-6011 (ISSN-L)
- OpenAlex
- W2707036725
- Cited by
- 170
- References
- 1
- FWCI
- 31.09
- Type
- conference paper
- Language
- en
- Open access
- green
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: An Experimental Security Analysis of an Industrial Robot Controller. https://app.cochat.ai/papers/10.1109/sp.2017.20
- The paper
- Quarta, D., Pogliani, M., Polino, M., Maggi, F., Zanchettin, A. M., & Zanero, S. (2017). An Experimental Security Analysis of an Industrial Robot Controller. 2017 IEEE Symposium on Security and Privacy (SP). https://doi.org/10.1109/sp.2017.20
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
