Cited by 535Smart Grid Security and ResilienceNetwork Security and Intrusion DetectionFault Detection and Control Systems

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A Survey of Physics-Based Attack Detection in Cyber-Physical Systems

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Giraldo, Jairo, Urbina, David, Cardenas, Alvaro, Valente, Junia, Faisal, Mustafa, Ruths, Justin, Tippenhauer, Nils Ole, Sandberg, Henrik, Candell, Richard·2019·ACM Computing Surveys

DOI 10.1145/3203245PMC PMC6512826

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Abstract

Monitoring the "physics" of cyber-physical systems to detect attacks is a growing area of research. In its basic form a security monitor creates time-series models of sensor readings for an industrial control system and identifies anomalies in these measurements in order to identify potentially false control commands or false sensor readings. In this paper, we review previous work on physics-based anomaly detection based on a unified taxonomy that allows us to identify limitations and unexplored challenges, and propose new solutions.

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Authors: Giraldo, J., Urbina, D., Cardenas, A., Valente, J., Faisal, M., Ruths, J., Tippenhauer, N. O., Sandberg, H., & Candell, R.
Affiliations: The University of Texas at Dallas (US)
University of Texas at Dallas, Richardson, USA
Singapore University of Technology and Design (SG)
KTH Royal Institute of Technology (SE)
National Institute of Standards and Technology (US)
ORCID: Giraldo, Jairo
Valente, Junia
Ruths, Justin
Tippenhauer, Nils Ole
Sandberg, Henrik
Candell, Richard
Venue: ACM Computing Surveys
Publisher: Association for Computing Machinery (ACM)
Published: 2018-07-25
Volume: 51
Issue: 4
Pages: 1-36
ISSN: 0360-0300 (ISSN-L)
1557-7341
DOI: 10.1145/3203245
PMC: PMC6512826
OpenAlex: W2803355698
Cited by: 535
References: 112
Citations by year: 2026: 33 · 2025: 54 · 2024: 52 · 2023: 65 · 2022: 80 · 2021: 125 · 2020: 82 · 2019: 43 · 2018: 1
FWCI: 38.84
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Licence: www.acm.org/publications/policies/copyright_policy#Background (vor)
Locations: ACM Computing Surveys (publishedVersion)
PubMed (publishedVersion)
PubMed Central (acceptedVersion)
Funders: NRF Singapore (NRF2014NCRNCR001-40)
Swedish Research Council (2013-5523)
NIST (70NANB16H019 and 70NANB17H282)
NSF (CNS-1553683 and CNS-1718848)
Swedish Civil Contingencies Agency
Topics: Physical Sciences › Engineering › Control and Systems Engineering › Smart Grid Security and Resilience
Physical Sciences › Computer Science › Computer Networks and Communications › Network Security and Intrusion Detection
Physical Sciences › Engineering › Control and Systems Engineering › Fault Detection and Control Systems
Keywords: cyber-physical systems, attack detection, industrial control systems, sensor readings, time series models, security monitoring

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A Survey of Physics-Based Attack Detection in Cyber-Physical Systems

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