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Cited by 27Smart Grid Security and ResilienceInformation and Cyber SecurityNetwork Security and Intrusion Detection

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

Preventing Advanced Persistent Threats in Complex Control Networks

Rubio, Juan E., Alcaraz, Cristina, Lopez, Javier·2017·Lecture Notes in Computer Science

Overview

Integrity signals

Registry

Crossref · 10.1007/978-3-319-66399-9_22

Cites

15 of 15 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Show all 15 references

Cited by

See all 27

Metadata

Authors
Rubio, J. E., Alcaraz, C., & Lopez, J.
Affiliations
Universidad de Málaga (ES)
Corresponding author
Rubio, Juan E.
Venue
Lecture Notes in Computer Science
Published
2017
Pages
402-418
ISSN
  • 0302-9743 (ISSN-L)
  • 1611-3349
OpenAlex
W2744552815
Cited by
27
References
15
Citations by year
2025: 3 · 2023: 3 · 2022: 4 · 2021: 2 · 2020: 5 · 2019: 5 · 2018: 3 · 2017: 2
FWCI
6.27
Type
conference paper
Language
en
Open access
closed
Licence
Locations
  • Lecture notes in computer science (publishedVersion)
  • Repositorio Institucional de la Universidad de Málaga (University of Málaga) (submittedVersion)
Topics
  • Physical Sciences › Engineering › Control and Systems Engineering › Smart Grid Security and Resilience
  • Physical Sciences › Computer Science › Information Systems › Information and Cyber Security
  • Physical Sciences › Computer Science › Computer Networks and Communications › Network Security and Intrusion Detection
Keywords
advanced persistent threats, industrial control systems, industrial automation security, network survivability, graph theory, attack detection, decision models, network topology changes, secret sharing, redundant links, network reachability

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 ›

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How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Preventing Advanced Persistent Threats in Complex Control Networks. https://app.cochat.ai/papers/10.1007/978-3-319-66399-9_22
The paper
Rubio, J. E., Alcaraz, C., & Lopez, J. (2017). Preventing Advanced Persistent Threats in Complex Control Networks. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-319-66399-9_22

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.