Cited by 5Smart Grid Security and ResilienceIndustrial Automation and Control SystemsSecurity and Verification in Computing

Detection of Ladder Logic Bombs in PLC Control Programs: an Architecture based on Formal Verification

Iacobelli, Antonio, Rinieri, Lorenzo, Melis, Andrea, Sadi, Amir Al, Prandini, Marco, Callegati, Franco·2024·2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems (ICPS)

Abstract

Industrial Control Systems (ICS) are responsible for the operations of production plants and critical infrastructures such as nuclear plants and smart grids. Since failures in such systems may harm people, damage properties, and affect the environment, security (in addition to safety) concerns are of paramount importance. In this work, we present a formal verification architecture for the detection of Ladder Logic Bombs, a class of attacks aimed at disrupting the normal operation of Programmable Logic controllers (PLCs). We built a dataset of PLC programs modeling the control logic of a physical system, containing thirty malicious and thirty legitimate samples, then we tested the proposed framework showing that it is able to detect LLBs with very high values of accuracy and precision.

Integrity signals

Registry

Crossref · 10.1109/icps59941.2024.10639995

Cites

15 of 15 references verified0 citation errors · 0 not checkable

Statistics

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

Claims the paper makes

This paper’s full text isn’t openly available, 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?

  • Other-data-type-driven anomaly detection studies deliberately move beyond conventional network and process data to monitor artifacts that are closer to the root cause of cyber-physical compromise-such as PLC control logic structure, acoustic side-channel signals, host-level physical resource usage, and power-consumption traces-thereby covering attack surfaces that packet- or sensor-centric dete

    “First, they deliberately move beyond conventional network and process data to monitor artifacts that are closer to the root cause of cyber-physical compromise-such as PLC control logic structure, acoustic side-channel signals, host-level physical resource usage, and power-consumption traces-thereby covering attack surfaces that packet- or sensor-centric detectors inherently miss [142-146].”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Iacobelli, A., Rinieri, L., Melis, A., Sadi, A. A., Prandini, M., & Callegati, F.
Affiliations
University of Bologna (IT)
Venue
2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems (ICPS)
Publisher
IEEE
Published
2024-05-12
Pages
1-7
OpenAlex
W4401880629
Cited by
5
References
15
Citations by year
2026: 1 · 2025: 4
FWCI
3.14
Type
conference paper
Language
en
Open access
closed
Locations
  • IEEE International Conference on Industrial Cyber-Physical Systems (ICPS) (publishedVersion)
  • Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (submittedVersion)
Topics
  • Physical Sciences › Engineering › Control and Systems Engineering › Smart Grid Security and Resilience
  • Physical Sciences › Engineering › Control and Systems Engineering › Industrial Automation and Control Systems
  • Physical Sciences › Computer Science › Artificial Intelligence › Security and Verification in Computing
Keywords
programmable logic controller, industrial control systems, formal verification, attack detection, PLC control program, malware detection, critical infrastructure security

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