The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Detecting Integrity Attacks on SCADA Systems
Abstract
Ensuring security of systems based on supervisory control and data acquisition is a major challenge. The goal of this paper is to develop the model-based techniques capable of detecting integrity attacks on the sensors of a control system. In this paper, the effect of integrity attacks on the control systems is analyzed and countermeasures capable of exposing such attacks are proposed. The main contributions of this paper, beyond the novelty of the problem formulation, lies in enumerating the conditions of the feasibility of the replay attack, and suggesting countermeasures that optimize the probability of detection by conceding control performance. The methodologies are shown and the theoretical results are validated using several sets of simulations.
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Cites
A Survey of Recent Results in Networked Control Systems
Hespanha, J. P., Naghshtabrizi, P., & Xu, Y. (2007) · Proceedings of the IEEE · doi:10.1109/jproc.2006.887288 · Cited by 3,806
Cyber Physical Systems: Design Challenges
Lee, E. A. (2008) · 2008 11th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing (ISORC) · doi:10.1109/isorc.2008.25 · Cited by 3,525
A plant-wide industrial process control problem
Downs, J. J., & Vogel, E. F. (1993) · Computers & Chemical Engineering · doi:10.1016/0098-1354(93)80018-i · Cited by 3,348
Kalman Filtering With Intermittent Observations
Sinopoli, B., Schenato, L., Franceschetti, M., Poolla, K., Jordan, M. I., & Sastry, S. S. (2004) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2004.834121 · Cited by 2,544
Self-citationA survey of design methods for failure detection in dynamic systems
Willsky, A. S. (1976) · Automatica · doi:10.1016/0005-1098(76)90041-8 · Cited by 2,153
Statistical signal processing : detection, estimation, and time series analysis
Scharf, L. L., & Demeure, C. J. (1991) · Infoscience (Ecole Polytechnique Fédérale de Lausanne) · Cited by 1,869
Foundations of Control and Estimation Over Lossy Networks
Schenato, L., Sinopoli, B., Franceschetti, M., Poolla, K., & Sastry, S. S. (2007) · Proceedings of the IEEE · doi:10.1109/jproc.2006.887306 · Cited by 1,421
Self-citationA survey of design methods for failure detection in dynamic systems
(1977) · Microelectronics Reliability · doi:10.1016/0026-2714(77)90326-2 · Cited by 1,421
Secure Estimation and Control for Cyber-Physical Systems Under Adversarial Attacks
Fawzi, H., Tabuada, P., & Diggavi, S. (2014) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2014.2303233 · Cited by 1,278
Secure Control: Towards Survivable Cyber-Physical Systems
Cardenas, A. A., Amin, S., & Sastry, S. (2008) · 2008 The 28th International Conference on Distributed Computing Systems Workshops · doi:10.1109/icdcs.workshops.2008.40 · Cited by 911
Cited by
A survey of physics-based attack detection in cyber-physical systems
Giraldo, J., Urbina, D., Cardenas, A., Valente, J., Faisal, M., Ruths, J., Tippenhauer, N. O., Sandberg, H., & Candell, R. (2019) · ACM Computing Surveys · doi:10.1145/3203245 · Cited by 535
(2015) · IEEE Control Systems · doi:10.1109/mcs.2014.2364724 · Cited by 498
Secure Cooperative Event-Triggered Control of Linear Multiagent Systems Under DoS Attacks
Feng, Z., & Hu, G. (2020) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2019.2892032 · Cited by 407
Guan, Y., & Ge, X. (2018) · IEEE Transactions on Signal and Information Processing over Networks · doi:10.1109/tsipn.2017.2749959 · Cited by 373
Assessing and augmenting SCADA cyber security: A survey of techniques
Nazir, S., Patel, S., & Patel, D. (2017) · Computers & Security · doi:10.1016/j.cose.2017.06.010 · Cited by 167
Metadata
- Authors
- Mo, Y., Chabukswar, R., & Sinopoli, B.
- Venue
- IEEE Transactions on Control Systems Technology
- Published
- 2014-07
- Volume
- 22
- Issue
- 4
- Pages
- 1396-1407
- ISSN
- 1063-6536 (ISSN-L)
- 1558-0865
- 2374-0159
- OpenAlex
- W2105773843
- Cited by
- 630
- References
- 33
- FWCI
- 23.24
- Type
- journal article
- Language
- en
- Open access
- closed
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- Mo, Y., Chabukswar, R., & Sinopoli, B. (2014). Detecting Integrity Attacks on SCADA Systems. IEEE Transactions on Control Systems Technology. https://doi.org/10.1109/tcst.2013.2280899
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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