The DOI matches its Crossref record; 108 of the 112 references it cites were found in a registry or an index.
A Survey of Physics-Based Attack Detection in Cyber-Physical Systems
Open accessAbstract
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.
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.
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“The focus of most of the surveys for CPS is on security and privacy (e.g., [84,85,93,96,102,112,113,119,124]).”
From A Systematic Review of Data Quality in CPS and IoT for Industry 4.0 (2023) · cites this paper as [85]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Unfortunately, IoT devices and networks are known to be highly vulnerable to security attacks that target data integrity and service availability.”
From Deep learning-enabled anomaly detection for IoT systems (2023) · cites this paper as [6]
Experimental — accuracy not yet measured
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
False data injection attacks against state estimation in electric power grids
Liu, Y., Ning, P., & Reiter, M. K. (2011) · ACM Transactions on Information and System Security · doi:10.1145/1952982.1952995 · Cited by 2,469
A 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
Attack Detection and Identification in Cyber-Physical Systems
Pasqualetti, F., Dörfler, F., & Bullo, F. (2013) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2013.2266831 · Cited by 2,139
Stuxnet: Dissecting a cyberwarfare weapon
Langner, R. (2011) · IEEE Security & Privacy Magazine · doi:10.1109/msp.2011.67 · Cited by 1,922
Experimental Security Analysis of a Modern Automobile
Koscher, K., Czeskis, A., Roesner, F., Patel, S., Kohno, T., Checkoway, S., McCoy, D., Kantor, B., Anderson, D., Shacham, H., et al. (2010) · IEEE Symposium on Security and Privacy (S&P) · doi:10.1109/sp.2010.34 · Cited by 1,897
System identification—A survey
Åström, K. J., & Eykhoff, P. (1971) · Automatica · doi:10.1016/0005-1098(71)90059-8 · Cited by 1,506
Sontag, E. D. (1998) · Texts in applied mathematics · doi:10.1007/978-1-4612-0577-7 · Cited by 1,339
A Survey of Fault Detection, Isolation, and Reconfiguration Methods
Hwang, I., Kim, S., Kim, Y., & Seah, C. E. (2009) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2009.2026285 · Cited by 1,308
False data injection attacks against state estimation in electric power grids
Liu, Y., Ning, P., & Reiter, M. K. (2009) · ACM SIGSAC Conference on Computer and Communications Security (CCS) · doi:10.1145/1653662.1653666 · Cited by 1,304
Survey of model-based failure detection and isolation in complex plants
Gertler, J. J. (1988) · IEEE Control Systems Magazine · doi:10.1109/37.9163 · Cited by 1,117
The quadruple-tank process: a multivariable laboratory process with an adjustable zero
Johansson, K. H. (2000) · IEEE Transactions on Control Systems Technology · doi:10.1109/87.845876 · Cited by 1,108
Levine, W. S. (2005) · Cited by 1,064
Secure control against replay attacks
Mo, Y., & Sinopoli, B. (2009) · Allerton Conference on Communication, Control, and Computing · doi:10.1109/allerton.2009.5394956 · Cited by 921
A survey of intrusion detection techniques for cyber-physical systems
Mitchell, R., & Chen, I.-R. (2014) · ACM Computing Surveys · doi:10.1145/2542049 · Cited by 768
Shokri, R., Theodorakopoulos, G., Boudec, J. L., & Hubaux, J. (2011) · IEEE Symposium on Security and Privacy (S&P) · doi:10.1109/sp.2011.18 · Cited by 711
Unmanned Aircraft Capture and Control Via GPS Spoofing
Kerns, A. J., Shepard, D. P., Bhatti, J., & Humphreys, T. (2014) · J. Field Robotics · doi:10.1002/rob.21513 · Cited by 709
Attacks against process control systems: risk assessment, detection, and response
Cárdenas, A. A., Amin, S., Lin, Z.-S., Huang, Y.-L., Huang, C.-Y., & Sastry, S. (2011) · Proceedings of the 6th ACM Symposium on Information, Computer and Communications Security · doi:10.1145/1966913.1966959 · Cited by 699
Detecting Integrity Attacks on SCADA Systems
Mo, Y., Chabukswar, R., & Sinopoli, B. (2013) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2013.2280899 · Cited by 643
The base-rate fallacy and the difficulty of intrusion detection
Axelsson, S. (2000) · ACM Transactions on Information and System Security · doi:10.1145/357830.357849 · Cited by 640
Proceedings of 1994 American Control Conference - ACC '94
(1994) · doi:10.1109/acc.1994 · Cited by 633
The Purdue enterprise reference architecture
Williams, T. J. (1994) · Computers in Industry · doi:10.1016/0166-3615(94)90017-5 · Cited by 632
Cyber Security and Privacy Issues in Smart Grids
Liu, J., Xiao, Y., Li, S., Liang, W. G., & Chen, C. L. P. (2012) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2011.122111.00145 · Cited by 586
Survey in Smart Grid and Smart Home Security: Issues, Challenges and Countermeasures
Komninos, N., Philippou, E., & Pitsillides, A. (2014) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2014.2320093 · Cited by 574
Strategic Protection Against Data Injection Attacks on Power Grids
Kim, T. T., & Poor, H. V. (2011) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2011.2119336 · Cited by 567
Mo, Y., Weerakkody, S., & Sinopoli, B. (2015) · IEEE Control Systems · doi:10.1109/mcs.2014.2364724 · Cited by 508
Attack models and scenarios for networked control systems
Teixeira, A. M. H., Perez, D. V., Sandberg, H., & Johansson, K. H. (2012) · International Conference on High Confidence Networked Systems · doi:10.1145/2185505.2185515 · Cited by 492
Self-citationModel-Based Attack Detection and Mitigation for Automatic Generation Control
Sridhar, S., & Govindarasu, M. (2014) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2014.2298195 · Cited by 487
Cyber‐physical attacks and defences in the smart grid: a survey
He, H., & Yan, J. (2016) · IET Cyber-Physical Systems Theory & Applications · doi:10.1049/iet-cps.2016.0019 · Cited by 457
Detecting False Data Injection Attacks on DC State Estimation
Bobba, R. B., Rogers, K. M., Wang, Q., Khurana, H., Nahrstedt, K., & Overbye, T. J. (2010) · Cited by 448
A Survey on Smart Grid Cyber-Physical System Testbeds
Cintuglu, M. H., Mohammed, O. A., Akkaya, K., & Uluagac, A. S. (2016) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2016.2627399 · Cited by 424
Stealth Attacks and Protection Schemes for State Estimators in Power Systems
Dán, G., & Sandberg, H. (2010) · IEEE International Conference on Smart Grid Communications (SmartGridComm) · doi:10.1109/smartgrid.2010.5622046 · Cited by 416
Self-citationCyber security analysis of state estimators in electric power systems
Teixeira, A. M. H., Amin, S., Sandberg, H., Johansson, K. H., & Sastry, S. (2010) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc.2010.5717318 · Cited by 412
Self-citationLimiting the Impact of Stealthy Attacks on Industrial Control Systems
Urbina, D. I., Giraldo, J., Cárdenas, Á. A., Tippenhauer, N. O., Valente, J., Faisal, M. A., Ruths, J., Candell, R., & Sandberg, H. (2016) · ACM SIGSAC Conference on Computer and Communications Security (CCS) · doi:10.1145/2976749.2978388 · Cited by 360
Self-citationVirtual trip lines for distributed privacy-preserving traffic monitoring
Hoh, B., Gruteser, M., Herring, R., Ban, J. X., Work, D. B., Herrera, J. C., Bayen, A. M., Annavaram, M., & Jacobson, Q. A. (2008) · International Conference on Mobile Systems, Applications, and Services · doi:10.1145/1378600.1378604 · Cited by 355
Malicious Data Attacks on Smart Grid State Estimation: Attack Strategies and Countermeasures
Kosut, O., Jia, L., Thomas, R. J., & Tong, L. (2010) · IEEE International Conference on Smart Grid Communications (SmartGridComm) · doi:10.1109/smartgrid.2010.5622045 · Cited by 352
Amin, S., Litrico, X., Sastry, S., & Bayen, A. M. (2012) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2012.2211873 · Cited by 350
On Security Indices for State Estimators in Power Networks
Sandberg, H., Teixeira, A. M. H., & Johansson, K. H. (2010) · Cited by 322
Self-citationUsing Model-based Intrusion Detection for SCADA Networks
Cheung, S. W., Dutertre, B., Fong, M. W., Lindqvist, U., Skinner, K., & Valdes, A. (2006) · Cited by 321
Revealing stealthy attacks in control systems
Teixeira, A. M. H., Shames, I., Sandberg, H., & Johansson, K. (2012) · Allerton Conference on Communication, Control, and Computing · doi:10.1109/allerton.2012.6483441 · Cited by 298
Self-citationSecurity analysis for Cyber-Physical Systems against stealthy deception attacks
Kwon, C., Liu, W., & Hwang, I. (2013) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.2013.6580348 · Cited by 295
Covert Misappropriation of Networked Control Systems: Presenting a Feedback Structure
Smith, R. S. (2015) · IEEE Control Systems · doi:10.1109/mcs.2014.2364723 · Cited by 269
Survey of Security Advances in Smart Grid: A Data Driven Approach
Tan, S., De, D., Song, W., Yang, J., & Das, S. K. (2016) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2016.2616442 · Cited by 266
SoK: Security and Privacy in Implantable Medical Devices and Body Area Networks
Rushanan, M., Rubin, A. D., Kune, D. F., & Swanson, C. M. (2014) · IEEE Symposium on Security and Privacy (S&P) · doi:10.1109/sp.2014.40 · Cited by 259
A Multidimensional Critical State Analysis for Detecting Intrusions in SCADA Systems
Carcano, A., Coletta, A., Guglielmi, M., Masera, M., Nai Fovino, I., & Trombetta, A. (2011) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2010.2099234 · Cited by 259
Mathematical control theory: deterministic finite dimensional systems (2nd ed.)
Sontag, E. D. (1998) · Springer eBooks · Cited by 249
Manufacturing and Security Challenges in 3D Printing
Zeltmann, S. E., Gupta, N., Tsoutsos, N. G., Maniatakos, M., Rajendran, J., & Karri, R. (2016) · JOM · doi:10.1007/s11837-016-1937-7 · Cited by 245
Observability of linear systems under adversarial attacks
Chong, M. S., Wakaiki, M., & Hespanha, J. P. (2015) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.2015.7171098 · Cited by 231
Cui, S. R., Han, Z., Kar, S., Kim, T. T., Poor, H. V., & Tajer, A. (2012) · IEEE Signal Processing Magazine · doi:10.1109/msp.2012.2185911 · Cited by 229
A Decoupled Feedback Structure for Covertly Appropriating Networked Control Systems
Smith, R. S. (2011) · IFAC Proceedings Volumes · doi:10.3182/20110828-6-it-1002.01721 · Cited by 225
Intrusion Detection in Cyber-Physical Systems: Techniques and Challenges
Han, S., Xie, M., Chen, H., & Ling, Y. (2014) · IEEE Systems Journal · doi:10.1109/jsyst.2013.2257594 · Cited by 203
Cyber-physical security challenges in manufacturing systems
Wells, L. J., Camelio, J. A., Williams, C. B., & White, J. (2014) · Manufacturing Letters · doi:10.1016/j.mfglet.2014.01.005 · Cited by 193
Hadžiosmanović, D., Sommer, R., Zambon, E., & Hartel, P. (2014) · Annual Computer Security Applications Conference · doi:10.1145/2664243.2664277 · Cited by 190
Specification-Based Intrusion Detection for Advanced Metering Infrastructures
Berthier, R., & Sanders, W. H. (2011) · IEEE Pacific Rim International Symposium on Dependable Computing (PRDC) · doi:10.1109/prdc.2011.30 · Cited by 188
Computer Communication Within Industrial Distributed Environment—a Survey
Gaj, P., Jasperneite, J., & Felser, M. (2012) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2012.2209668 · Cited by 172
Cyber Security of Water SCADA Systems—Part II: Attack Detection Using Enhanced Hydrodynamic Models
Amin, S., Litrico, X., Sastry, S., & Bayen, A. M. (2012) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2012.2211874 · Cited by 156
Smart grid data integrity attacks: characterizations and countermeasuresπ
Giani, A., Bitar, E. Y., Garcia, M., McQueen, M., Khargonekar, P. P., & Poolla, K. R. (2011) · IEEE International Conference on Smart Grid Communications (SmartGridComm) · doi:10.1109/smartgridcomm.2011.6102324 · Cited by 148
Secure State Estimation Against Sensor Attacks in the Presence of Noise
Mishra, S., Shoukry, Y., Karamchandani, N., Diggavi, S. N., & Tabuada, P. (2016) · IEEE Transactions on Control of Network Systems · doi:10.1109/tcns.2016.2606880 · Cited by 146
Shoukry, Y., Martin, P. D., Yona, Y., Diggavi, S. N., & Srivastava, M. B. (2015) · ACM SIGSAC Conference on Computer and Communications Security (CCS) · doi:10.1145/2810103.2813679 · Cited by 139
Security Tradeoffs in Cyber Physical Systems: A Case Study Survey on Implantable Medical Devices
Altawy, R., & Youssef, A. M. (2016) · IEEE Access · doi:10.1109/access.2016.2521727 · Cited by 139
Evaluating Electricity Theft Detectors in Smart Grid Networks
Mashima, D., & Cárdenas, Á. A. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-33338-5_11 · Cited by 136
Emerging Security Mechanisms for Medical Cyber Physical Systems
Kocabaş, Ö., Soyata, T., & Aktaş, M. K. (2016) · IEEE Transactions on Computational Biology and Bioinformatics · doi:10.1109/tcbb.2016.2520933 · Cited by 133
Wang, D., Wang, Z., Shen, B., Alsaadi, F. E., & Hayat, T. (2016) · Journal of the Franklin Institute · doi:10.1016/j.jfranklin.2016.04.011 · Cited by 132
A Trusted Safety Verifier for Process Controller Code
McLaughlin, S., Zonouz, S., Pohly, D. J., & McDaniel, P. (2014) · Network and Distributed System Security Symposium · doi:10.14722/ndss.2014.23043 · Cited by 127
Security in stochastic control systems: Fundamental limitations and performance bounds
Bai, C.-Z., Pasqualetti, F., & Gupta, V. (2015) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.2015.7170734 · Cited by 126
Teixeira, A. M. H., Dán, G., Sandberg, H., & Johansson, K. H. (2011) · IFAC Proceedings Volumes · doi:10.3182/20110828-6-it-1002.02210 · Cited by 122
Self-citationHe, H., Maple, C. R., Watson, T., Tiwari, A., Mehnen, J., Jin, Y., & Gabryś, B. (2016) · IEEE Congress on Evolutionary Computation (CEC) · doi:10.1109/cec.2016.7743900 · Cited by 120
Lin, H., Slagell, A., Martino, C. D., Kalbarczyk, Z., & Iyer, R. K. (2013) · Cyber Security and Information Intelligence Research Workshop · doi:10.1145/2459976.2459982 · Cited by 114
Rouf, I., Mustafa, H. A., Xu, M., Xu, W., Miller, R., & Gruteser, M. (2012) · ACM SIGSAC Conference on Computer and Communications Security (CCS) · doi:10.1145/2382196.2382246 · Cited by 112
Defending against Sybil Devices in Crowdsourced Mapping Services
Wang, G., Wang, B., Wang, T., Nika, A., Zheng, H.-T., & Zhao, B. Y. (2016) · International Conference on Mobile Systems, Applications, and Services · doi:10.1145/2906388.2906420 · Cited by 108
A framework for the evaluation of intrusion detection systems
Cárdenas, Á. A., Baras, J. S., & Seamon, K. (2006) · Proceedings - IEEE Symposium on Security and Privacy/Proceedings of the ... IEEE Symposium on Security and Privacy · doi:10.1109/sp.2006.2 · Cited by 100
Topology Perturbation for Detecting Malicious Data Injection
Morrow, K. L., Heine, E., Rogers, K. M., Bobba, R. B., & Overbye, T. J. (2012) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2012.594 · Cited by 97
McLaughlin, S., & McDaniel, P. D. (2012) · Proceedings of the ACM Conference on Computer and Communications Security · doi:10.1145/2382196.2382244 · Cited by 94
N-Gram against the Machine: On the Feasibility of the N-Gram Network Analysis for Binary Protocols
Hadžiosmanović, D., Simionato, L., Bolzoni, D., Zambon, E., & Etalle, S. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-33338-5_18 · Cited by 91
Power flow cyber attacks and perturbation-based defense
Davis, K., Morrow, K. L., Bobba, R. B., & Heine, E. (2012) · IEEE International Conference on Smart Grid Communications (SmartGridComm) · doi:10.1109/smartgridcomm.2012.6486007 · Cited by 89
Krotofil, M., Larsen, J., & Gollmann, D. (2015) · ACM Symposium on Information, Computer and Communications Security · doi:10.1145/2714576.2714599 · Cited by 89
Impact of integrity attacks on real-time pricing in smart grids
Tan, R., Krishna, V. B., Yau, D. K. Y., & Kalbarczyk, Z. (2013) · ACM SIGSAC Conference on Computer and Communications Security (CCS) · doi:10.1145/2508859.2516705 · Cited by 86
PIPAC: Patient infusion pattern based access control scheme for wireless insulin pump system
Hei, X., Du, X., Lin, S., & Lee, I. (2013) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infcom.2013.6567115 · Cited by 83
Taxonomies for Reasoning About Cyber-physical Attacks in IoT-based Manufacturing Systems
Pan, Y., White, J., Schmidt, D., Elhabashy, A., Sturm, L., Camelio, J., & Williams, C. (2017) · International Journal of Interactive Multimedia and Artificial Intelligence · doi:10.9781/ijimai.2017.437 · Cited by 81
Characterization of a CUSUM model-based sensor attack detector
Murguia, C., & Ruths, J. (2016) · Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes · doi:10.1109/cdc.2016.7798446 · Cited by 75
Self-citationSRID: State Relation Based Intrusion Detection for False Data Injection Attacks in SCADA
Wang, Y., Xu, Z., Zhang, J., Xu, L., Wang, H., & Gu, G. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-11212-1_23 · Cited by 74
Coding sensor outputs for injection attacks detection
Miao, F., Zhu, Q., Pajić, M., & Pappas, G. J. (2014) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc.2014.7040293 · Cited by 72
Impact of integrity attacks on real-time pricing in smart grids
Tan, R., Badrinath, V., David, K., Yau, K. Y., & Kalbarczyk, Z. (2013) · Cited by 72
On Kalman filtering in the presence of a compromised sensor: Fundamental performance bounds
Bai, C.-Z., & Gupta, V. (2014) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.2014.6859155 · Cited by 65
Exposing Digital Forgeries in Ballistic Motion
Conotter, V., O’Brien, J. F., & Farid, H. (2011) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2011.2165843 · Cited by 65
Cyber attacks on AC state estimation: Unobservability and physical consequences
Liang, J., Kosut, O., & Sankar, L. (2014) · doi:10.1109/pesgm.2014.6939486 · Cited by 63
Attacking Fieldbus Communications in ICS: Applications to the SWaT Testbed
David, U., Jairo, G., Ole, T. N., & Alvaro, C. (2016) · Cryptology and Information Security Series · doi:10.3233/978-1-61499-617-0-75 · Cited by 63
A clustering-based approach to detect cyber attacks in process control systems
Kiss, I., Genge, B., & Haller, P. (2015) · 2022 IEEE 20th International Conference on Industrial Informatics (INDIN) · doi:10.1109/indin.2015.7281725 · Cited by 61
Gerdes, R., Winstead, C., & Heaslip, K. P. (2013) · Annual Computer Security Applications Conference · doi:10.1145/2523649.2523658 · Cited by 55
Cumulative Attestation Kernels for Embedded Systems
LeMay, M., & Gunter, C. A. (2012) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2011.2174811 · Cited by 51
Verifying Cyber-Physical Interactions in Safety-Critical Systems
Mitra, S., Wongpiromsarn, T., & Murray, R. M. (2013) · IEEE Security & Privacy · doi:10.1109/msp.2013.77 · Cited by 48
Hybrid Control Network Intrusion Detection Systems for Automated Power Distribution Systems
Parvania, M., Koutsandria, G., Muthukumary, V., Peisert, S., McParland, C., & Scaglione, A. (2014) · International Conference on Dependable Systems & Networks/Proceedings · doi:10.1109/dsn.2014.81 · Cited by 47
McLaughlin, S. (2013) · Annual Computer Security Applications Conference · doi:10.1145/2523649.2523673 · Cited by 42
Semantic security analysis of SCADA networks to detect malicious control commands in power grids
Lin, H., Slagell, A., Kalbarczyk, Z., Sauer, P. W., & Iyer, R. K. (2013) · doi:10.1145/2516930.2516947 · Cited by 40
Robust and resilient estimation for Cyber-Physical Systems under adversarial attacks
Yong, S. Z., Foo, M. Q., & Frazzoli, E. (2016) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.2016.7524933 · Cited by 38
A hybrid network IDS for protective digital relays in the power transmission grid
Koutsandria, G., Muthukumar, V., Parvania, M., Peisert, S., McParland, C., & Scaglione, A. (2014) · IEEE International Conference on Smart Grid Communications (SmartGridComm) · doi:10.1109/smartgridcomm.2014.7007764 · Cited by 37
A statistical method for detecting cyber/physical attacks on SCADA systems
van Long, Fillatre, L., & Nikiforov, I. V. (2014) · The proceedings of the IEEE Conference on Control Applications/The proceedings of the ... IEEE Conference on Control Applications · doi:10.1109/cca.2014.6981373 · Cited by 37
Response and reconfiguration of cyber-physical control systems: A survey
Cómbita, L. F., Giraldo, J., Cárdenas, Á. A., & Quijano, N. (2015) · IEEE Colombian Conference on Automatic Control (CCAC) · doi:10.1109/ccac.2015.7345181 · Cited by 36
Self-citationConfiguration-based IDS for advanced metering infrastructure
Ali, M. Q., & Al-Shaer, E. S. (2013) · doi:10.1145/2508859.2516745 · Cited by 31
Attack Mitigation in Adversarial Platooning Using Detection-Based Sliding Mode Control
Sajjad, I., Dunn, D. D., Sharma, R., & Gerdes, R. (2015) · doi:10.1145/2808705.2808713 · Cited by 29
SMT-Based Observer Design for Cyber-Physical Systems under Sensor Attacks
Shoukry, Y., Chong, M. S., Wakaiki, M., Nuzzo, P., Sangiovanni-Vincentelli, A. L., Seshia, S., Hespanha, J., & Tabuada, P. (2016) · eScholarship (California Digital Library) · Cited by 26
A formal model for verifying stealthy attacks on state estimation in power grids
Rahman, M. A., Al-Shaer, E. S., & Rahman, M. A. (2013) · IEEE International Conference on Smart Grid Communications (SmartGridComm) · doi:10.1109/smartgridcomm.2013.6687993 · Cited by 22
Energy-based attack detection in networked control systems
Eyisi, E. P., & Koutsoukos, X. (2014) · doi:10.1145/2566468.2566472 · Cited by 20
On the security of distributed power system state estimation under targeted attacks
Vuković, O., & Dán, G. (2013) · ACM Symposium on Applied Computing · doi:10.1145/2480362.2480490 · Cited by 19
Using Visual Challenges to Verify the Integrity of Security Cameras
Valente, J., & Cárdenas, Á. A. (2015) · Annual Computer Security Applications Conference · doi:10.1145/2818000.2818045 · Cited by 18
Self-citationCyberphysical Security in Networked Control Systems [About This Issue]
How, J. P. (2015) · IEEE Control Systems · doi:10.1109/mcs.2014.2364693 · Cited by 17
Cyber-Physical Systems Security -- A SurveyPreprint
Humayed, A. A., Lin, J., Li, F., et al. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1701.04525 · Cited by 15
False data injection attacks for a class of output tracking control systems
Hou, F., Pang, Z., Zhou, Y., & Sun, D. (2015) · Chinese Control and Decision Conference (CCDC) · doi:10.1109/ccdc.2015.7162493 · Cited by 9
Remote Proofs of Video Freshness for Public Spaces
Valente, J., & Cárdenas, Á. A. (2017) · Workshop on Cyber-Physical Systems Security and PrivaCy (CPS-SPC) · doi:10.1145/3140241.3140242 · Cited by 4
Self-citation
Flagged first, then by citations
4 of the 112 references couldn’t be matched to a known paper.
Research works printed but not linked: 26
- Vijay Gupta Bai, 2014, Proceedings of American Control Conference. 3029--3034
- Pasqualetti Fabio, 2015, Proceedings of American Control Conference.
- Bobba Rakesh B., Proceedings of Workshop on Secure Control Systems, 2010
- Checkoway Stephen, Proceedings of the USENIX Security Symposium.
- Cheung Steven, 2007, Proceedings of the SCADA Security Scientific Symposium, 46
- Chong Michelle S., Proceedings of the American Control Conference (ACC’15)
- Falliere Nicolas, stuxnet dossier. White paper
- Giani Annarita, 2011, Proceedings of Conference on Smart Grid Communications (SmartGridComm’11)
- Henry Nathan, 2013, Proceedings of Workshop on Health Information Technologies.
- Ishtiaq Roufa Rob Millerb, 2010, Proceedings of USENIX Security Symposium. 11--13
- Kwon Cheolhyeon, 2013, Proceedings of American Control Conference. 3344--3349
- Lennart Ljung (Ed.). 1999. System Identification (2nd Ed.): Theory for the User. Prentice Hall PTR Upper Saddle River NJ. Lennart Ljung (Ed.). 1999. System Identification (2nd Ed.): Theory for the User. Prentice Hall PTR Upper Saddle River NJ.
- Lun Yuriy Zacchia, 2016, Cyber-physical systems security: A systematic mapping study. arXiv preprint arXiv:1605.09641 · arXiv
- Miao Fei, Proceedings of Conference on Decision and Control. 5776--5781
- 10.5555/1793974.1794131 · DOI
- Murguia C., Proceedings of the IEEE 55th Conference on Decision and Control (CDC’16)
- 10.5555/2992856.2992858 · DOI
- ODVA, 2011, The CIP Networks Library
- Rahman Mohammad Ashiqur, Proceedings of Conference on Smart Grid Communications (SmartGridComm’13)
- 10.1109/SP.2014.40 · DOI
- 10.1145/2808705.2808713 · DOI
- Sandberg Henrik, Proceedings of the Workshop on Secure Control Systems.
- 10.5555/2984464.2984493 · DOI
- Teixeira André, Proceedings of Conference on Decision and Control (CDC’10)
- Urbina David, 2016, Proceedings of Singapore Cyber Security R8D Conference (SG-CRC’16), 14
- Yong S. Z., Proceedings of the American Control Conference (ACC’16)
Cited by
Sorted by citations
Deep Learning for Generic Object Detection: A Survey
Liu, L., Ouyang, W., Wang, X., Fieguth, P., Chen, J., Liu, X., & Pietikäinen, M. (2020) · International Journal of Computer Vision · doi:10.1007/s11263-019-01247-4 · Cited by 2,965
A Survey of Cyber Attacks on Cyber Physical Systems: Recent Advances and Challenges
Duo, W., Zhou, M., & Abusorrah, A. M. (2022) · IEEE/CAA Journal of Automatica Sinica · doi:10.1109/jas.2022.105548 · Cited by 599
Fake news detection: A hybrid CNN-RNN based deep learning approach
Nasir, J. A., Khan, O. S., & Varlamis, I. (2021) · International Journal of Information Management Data Insights · doi:10.1016/j.jjimei.2020.100007 · Cited by 568
A systems and control perspective of CPS security
Dibaji, S. M., Pirani, M., Flamholz, D. B., Annaswamy, A. M., Johansson, K. H., & Chakrabortty, A. (2019) · Annual Reviews in Control · doi:10.1016/j.arcontrol.2019.04.011 · Cited by 562
Applications of artificial intelligence for disaster management
Sun, W., Bocchini, P., & Davison, B. D. (2020) · Natural Hazards · doi:10.1007/s11069-020-04124-3 · Cited by 491
Metadata
- 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)
- Venue
- ACM Computing Surveys
- Published
- 2018-07-25
- Volume
- 51
- Issue
- 4
- Pages
- 1-36
- ISSN
- 0360-0300 (ISSN-L)
- 1557-7341
- 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
- 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
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
