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

False data injection attacks against state estimation in electric power grids

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Stuxnet: Dissecting a cyberwarfare weapon

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Experimental Security Analysis of a Modern Automobile

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A Survey of Fault Detection, Isolation, and Reconfiguration Methods

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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

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Identifying Twitter users who repost unreliable news sources with linguistic information

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Network Attack Detection Method of the Cyber-Physical Power System Based on Ensemble Learning

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Real-time Evasion Attacks with Physical Constraints on Deep Learning-based Anomaly Detectors in Industrial Control SystemsPreprint

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Survey on data-driven control and its application in cyber-physical energy systems

Liu, W., Zhang, M., Xu, Q., & Xie, L. (2025) · Cyber-Physical Energy Systems · doi:10.1016/j.cpes.2025.08.004 · Cited by 13

Control System Level Intrusion Detection on J1939 Heavy-Duty Vehicle Buses

Jichici, C., Berdich, A., Musuroi, A., & Groza, B. (2023) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2023.3283995 · Cited by 13

Real-Time Anomaly Detection for Industrial Robotic Arms Using Edge Computing

Kayan, H., Heartfield, R., RANA, O. F., Burnap, P., & Perera, C. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3569780 · Cited by 15

When is the Secure State-Reconstruction Problem Hard?

Mao, Y., Mitra, A., Sundaram, S., & Tabuada, P. (2019) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc40024.2019.9030047 · Cited by 13

Enhancing Internal Learning in Teams: The Role of Network Centrality and Psychological Capital of Undergraduate Students

Geremias, R. L., Lopes, M. P., & Soares, A. E. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.02197 · Cited by 14

SCOPE: Secure Compiling of PLCs in Cyber-Physical Systems

Chekole, E. G., Ochoa, M., & Chattopadhyay, S. (2021) · International Journal of Critical Infrastructure Protection · doi:10.1016/j.ijcip.2021.100431 · Cited by 13

Deepnoise: Learning sensor and process noise to detect data integrity attacks in CPS

Luo, Y., Cheng, L., Liang, Y., Fu, J., & Peng, G. (2021) · China Communications · doi:10.23919/jcc.2021.09.015 · Cited by 13

CoToRu: Automatic Generation of Network Intrusion Detection Rules from Code

Tan, H. C., Cheh, C., & Chen, B. (2022) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infocom48880.2022.9796697 · Cited by 13

Zero Residual Attacks on Industrial Control Systems and Stateful Countermeasures

Ghaeini, H. R., Tippenhauer, N. O., & Zhou, J. (2019) · International Conference on Availability, Reliability and Security (ARES) · doi:10.1145/3339252.3340331 · Cited by 13

Efficient Cyber Attacks Detection in Industrial Control Systems Using Lightweight Neural Networks and PCAPreprint

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Using machine learning to detect network intrusions in industrial control systems: a survey

Termanini, A., Al‐Abri, D., Bourdoucen, H., & Maashri, A. A. (2024) · International Journal of Information Security · doi:10.1007/s10207-024-00916-x · Cited by 21

You Make Me Tremble: A First Look at Attacks Against Structural Control Systems

Zambrano, A., Palacio‐Betancur, A., Burbano, L., Niño, A. F., Giraldo, L. F., Soto, M. G., Giraldo, J., & Cárdenas, Á. A. (2021) · ACM SIGSAC Conference on Computer and Communications Security (CCS) · doi:10.1145/3460120.3485386 · Cited by 12

Targeted Attack Synthesis for Smart Grid Vulnerability Analysis

Maiti, S., Balabhaskara, A., Adhikary, S., Koley, I., & Dey, S. (2023) · ACM SIGSAC Conference on Computer and Communications Security (CCS) · doi:10.1145/3576915.3623155 · Cited by 12

DL-Powered Anomaly Identification System for Enhanced IoT Data Security

Kolhar, M., & Aldossary, S. M. (2023) · Computers, materials & continua/Computers, materials & continua (Print) · doi:10.32604/cmc.2023.042726 · Cited by 12

Deep Reinforcement Learning-Based Multi-Layer Cascaded Resilient Recovery for Cyber-Physical Systems

Zhong, K., Yang, Z., Yu, S., & Li, K. (2024) · IEEE Transactions on Services Computing · doi:10.1109/tsc.2024.3478729 · Cited by 12

An IEC 62443-Based Framework for Secure-by-Design Energy Communities

Gaggero, G. B., Armellin, A., Girdinio, P., & Marchese, M. (2024) · IEEE Access · doi:10.1109/access.2024.3492316 · Cited by 15

A Self-Check Method for Enhancing the Measurement Accuracy of Analog Sensors Under Electromagnetic Interference

Jia, Z., Chen, G., Zhang, J., Weng, Y., Wang, X., Chen, J., Dong, A., Zhang, F., Xu, H., Li, L., et al. (2025) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2025.3529047 · Cited by 12

Evaluating Cascading Impact of Attacks on Resilience of Industrial Control Systems: A Design-Centric Modeling Approach

Hau, Z., Castellanos, J. H., & Zhou, J. (2020) · ACM Workshop on Cyber-Physical System Security (CPSS) · doi:10.1145/3384941.3409587 · Cited by 12

An Improved Industrial Control System Device Logs Processing Method for Process-Based Anomaly Detection

Hussain, M., Foo, E., & Suriadi, S. (2019) · International Conference on Frontiers of Information Technology (FIT) · doi:10.1109/fit47737.2019.00037 · Cited by 12

Skip to Secure

Adhikary, S., Koley, I., Ghosh, S. K., Ghosh, S., Dey, S., & Mukhopadhyay, D. (2020) · ACM Workshop on CPS&IoT Security and Privacy (CPSIoTSec) · doi:10.1145/3411498.3419966 · Cited by 12

Software Sustainability in the Age of Everything as a Service

Andrikopoulos, V., & Lago, P. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-73203-5_3 · Cited by 12

Explainable AI for Security of Human-Interactive Robots

Roque, A., & Damodaran, S. K. (2022) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2022.2066246 · Cited by 13

Optimized Moving Target Defense Against DDoS Attacks in IoT Networks: When to Adapt?

Osei, A. B., Yeginati, S. R., Mtawa, Y. A., & Halabi, T. (2022) · Globecom · doi:10.1109/globecom48099.2022.10001502 · Cited by 12

A Physics-Based Attack Detection Technique in Cyber-Physical Systems: A Model Predictive Control Co-Design Approach

Chamanbaz, M., Dabbene, F., & Bouffanais, R. (2019) · Australian & New Zealand Control Conference (ANZCC) · doi:10.1109/anzcc47194.2019.8945588 · Cited by 12

Motivation of emergency medical services volunteers: a study of organized Good Samaritans

Khalemsky, M., Schwartz, D. G., Herbst, R., & Jaffe, E. (2020) · Israel Journal of Health Policy Research · doi:10.1186/s13584-020-00370-9 · Cited by 13

Towards attack detection in multimodal cyber-physical systems with sticky HDP-HMM based time series analysis

Hong, A. E., Malinovsky, P. P., & Damodaran, S. K. (2024) · Digital Threats: Research and Practice · doi:10.1145/3604434 · Cited by 11

Recovery from Adversarial Attacks in Cyber-physical Systems: Shallow, Deep, and Exploratory Works

Lu, P., Zhang, L., Liu, M., Sridhar, K., Sokolsky, O. V., Kong, F., & Lee, I. (2024) · ACM Computing Surveys · doi:10.1145/3653974 · Cited by 11

Towards scalable, secure, and smart mission-critical IoT systems

Guo, X., Han, S., Hu, X. S., Jiao, X., Jin, Y., Kong, F., & Lemmon, M. D. (2021) · ACM International Conference on Embedded Software (EMSOFT) · doi:10.1145/3477244.3477624 · Cited by 13

Stealthy Attack Detection Method Based on Multi-Feature Long Short-Term Memory Prediction Model

Wang, J., Lai, Y., & Liu, J. (2022) · Future Generation Computer Systems · doi:10.1016/j.future.2022.07.014 · Cited by 11

A worst-case approach to safety and reference tracking for cyber-physical systems under network attacks

Gheitasi, K., & Lúcia, W. (2022) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2022.3205867 · Cited by 11

An Active Detection Strategy Based on Dimensionality Reduction for False Data Injection Attacks in Cyber-Physical Systems

Attar, M., & Lúcia, W. (2023) · IEEE Transactions on Control of Network Systems · doi:10.1109/tcns.2023.3244103 · Cited by 11

Enhanced Cyber-physical Security of Steering Stability Control System for Four-Wheel Independent Drive Electric Vehicles

Guo, L., Yang, B., & Ye, J. (2020) · IEEE Transportation Electrification Conference and Expo · doi:10.1109/itec48692.2020.9161645 · Cited by 11

Monitoring an anonymity network: Toward the deanonymization of hidden services

Simioni, M., Gladyshev, P., Habibnia, B., & de Souza, P. R. N. (2021) · Forensic Science International Digital Investigation · doi:10.1016/j.fsidi.2021.301135 · Cited by 11

Spoofing attacks against vehicular FMCW radar

Komissarov, R., Vaisman, S., & Wool, A. (2023) · Journal of Cryptographic Engineering · doi:10.1007/s13389-023-00321-5 · Cited by 13

Architecture and Prototype Implementation for Process-Aware Intrusion Detection in Electrical Grids

Flosbach, R., Chromik, J. J., & Remke, A. (2019) · IEEE Symposium on Reliable Distributed Systems (SRDS) · doi:10.1109/srds47363.2019.00015 · Cited by 11

In the mind of an insider attacker on cyber‐physical systems and how not being fooled

Ning, X., & Jiang, J. (2020) · IET Cyber-Physical Systems Theory & Applications · doi:10.1049/iet-cps.2019.0087 · Cited by 11

A Survey of Using Process Data and Features of Industrial Control Systems in Intrusion Detection

Storm, J.-M., Hagen, J. M., & Toftegaard, O. A. A. (2021) · IEEE International Conference on Big Data (BigData) · doi:10.1109/bigdata52589.2021.9671325 · Cited by 10

Linear TDOA-based Measurements for Distributed Estimation and Localized Tracking

Doostmohammadian, M., & Charalambous, T. (2022) · IEEE Vehicular Technology Conference · doi:10.1109/vtc2022-spring54318.2022.9860989 · Cited by 10

[SoK] Evaluations in Industrial Intrusion Detection Research

Lamberts, O., Wolsing, K., Wagner, E., Pennekamp, J., Bauer, J., Wehrle, K., & Henze, M. (2023) · Journal of Systems Research · doi:10.5070/sr33162445 · Cited by 10

Enhanced Cyber-Attack Detection in Intelligent Motor Drives: A Transfer Learning Approach With Convolutional Neural Networks

Yang, B., Wu, S., Hu, K., Ye, J., Song, W., Ma, P., Shi, J., & Liu, P. (2023) · IEEE Journal of Emerging and Selected Topics in Industrial Electronics · doi:10.1109/jestie.2023.3346802 · Cited by 10

An anomaly-based approach for cyber–physical threat detection using network and sensor data

Canonico, R., Esposito, G., Navarro, A., Romano, S. P., Sperlí, G., & Vignali, A. (2025) · Computer Communications · doi:10.1016/j.comcom.2025.108087 · Cited by 10

A Covert System Identification Attack on Constant Setpoint Control Systems

Phillips, T., Mehrpouyan, H., Gardner, J., & Reese, S. J. (2019) · International Symposium on Computing and Networking Workshops (CANDARW) · doi:10.1109/candarw.2019.00070 · Cited by 10

Proposing a Load Balancing Algorithm For Cloud Computing Applications

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A Tutorial on Security and Privacy Challenges in CPS

Dibaji, S. M., Hussain, A., & Ishii, H. (2022) · Lecture notes in control and information sciences · doi:10.1007/978-3-030-83236-0_5 · Cited by 10

Safety-Preserving Filters Against Stealthy Sensor and Actuator Attacks

Escudero, C., Murguia, C., Massioni, P., & Zamaï, É. (2023) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc49753.2023.10383320 · Cited by 10

CRYSTAL framework: Cybersecurity assurance for cyber-physical systems

Moradi, F., Asadollah, S. A., Pourvatan, B., Moezkarimi, Z., & Sirjani, M. (2024) · Journal of Logical and Algebraic Methods in Programming · doi:10.1016/j.jlamp.2024.100965 · Cited by 10

An Approach Utilizing Linguistic Features for Fake News Detection

Kasseropoulos, D. P., & Tjortjis, C. (2021) · IFIP advances in information and communication technology · doi:10.1007/978-3-030-79150-6_51 · Cited by 11

A formal analysis of performance-security tradeoffs under frequent task reconfigurations

Alhozaimy, S., & Menascé, D. A. (2021) · Future Generation Computer Systems · doi:10.1016/j.future.2021.09.005 · Cited by 10

Cyber-Attack Detection for Active Neutral Point Clamped (ANPC) Photovoltaic (PV) Converter using Kalman Filter

Zhang, J., & Ye, J. (2022) · Conference proceedings/Conference proceedings - IEEE Applied Power Electronics Conference and Exposition · doi:10.1109/apec43599.2022.9773382 · Cited by 10

Stealthy false data injection attacks against distributed multi-agent systems

Sun, L., Wu, T., Yang, Y., Wang, Q., & Zhang, Y. (2024) · International Journal of Systems Science · doi:10.1080/00207721.2024.2439475 · Cited by 9

Unsupervised Anomaly Detection for Improving Adversarial Robustness of 3D Object Detection Models

Cai, M., Wang, X., Sohel, F. A., & Lei, H. (2025) · Electronics · doi:10.3390/electronics14020236 · Cited by 9

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Detecting Rumours in Disasters: An Imbalanced Learning Approach

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Rumour prevention in social networks with layer 2 blockchains

Thakur, S., & Breslin, J. G. (2021) · Social Network Analysis and Mining · doi:10.1007/s13278-021-00819-y · Cited by 10

Resilient redundancy-based control of cyber–physical systems through adaptive randomized switching

Krishnamurthy, P., & Khorrami, F. (2021) · Systems & Control Letters · doi:10.1016/j.sysconle.2021.105066 · Cited by 9

Catch Me If You Learn: Real-Time Attack Detection and Mitigation in Learning Enabled CPS

Koley, I., Adhikary, S., & Dey, S. (2021) · IEEE Real-Time Systems Symposium (RTSS) · doi:10.1109/rtss52674.2021.00023 · Cited by 9

Quantitative Robustness Analysis of Sensor Attacks on Cyber-Physical Systems

Chong, S., Ruggero Lanotte, A., Merro, M., Tini, S., & Xiang, J. (2023) · ACM International Conference on Hybrid Systems: Computation and Control (HSCC) · doi:10.1145/3575870.3587118 · Cited by 9

Catch You if Pay Attention: Temporal Sensor Attack Diagnosis Using Attention Mechanisms for Cyber-Physical Systems

Wang, Z., Zhang, L., Qiu, Q., & Kong, F. (2023) · IEEE Real-Time Systems Symposium (RTSS) · doi:10.1109/rtss59052.2023.00016 · Cited by 9

A safety preserving control architecture for cyber‐physical systems

Gheitasi, K., & Lúcia, W. (2021) · International Journal of Robust and Nonlinear Control · doi:10.1002/rnc.5432 · Cited by 9

Enforcing Safety under Actuator Injection Attacks through Input Filtering

Escudero, C., Murguia, C., Massioni, P., & Zamaï, É. (2022) · European Control Conference (ECC) · doi:10.23919/ecc55457.2022.9838201 · Cited by 9

Tunnel disturbance events monitoring and recognition with distributed acoustic sensing (DAS)

Zhang, T.-Y., Shi, B., Zhang, C., Xie, T., Yin, J. F., & Li, J. (2021) · IOP Conference Series Earth and Environmental Science · doi:10.1088/1755-1315/861/4/042034 · Cited by 9

TranBF: Deep Transformer Networks and Bayesian Filtering for Time Series Anomalous Signal Detection in Cyber-physical Systems

Zhang, S., Hu, X., & Liu, J. (2024) · IEEE International Conference on Multimedia and Expo (ICME) · doi:10.1109/icme57554.2024.10687464 · Cited by 8

Vulnerability Assessment and Detection of Stealthy Sequential Cyberattacks in Hybrid Tracked Vehicles

Muriithi, G., Papari, B., Moghassemi, A., Sundar, A., Arsalan, A., Buraimoh, E., Timilsina, L., Özkan, G., & Edrington, C. S. (2024) · IEEE Transactions on Transportation Electrification · doi:10.1109/tte.2024.3510458 · Cited by 8

Worst-case performance of Kalman filtering against cyber-attacks with true and contaminated information

Yang, Y., Li, Z., Zhao, X., & Li, Y. (2025) · Automatica · doi:10.1016/j.automatica.2025.112257 · Cited by 8

A Survey on Security and Privacy of Industry 4.0 and Beyond: Technical Aspects, Use Cases, Challenges, and Research Directions

Gaba, G. S., Sari, A., Bütün, İ., Singh, P., Gurtov, A., & Liyanage, M. (2025) · IEEE Open Journal of the Communications Society · doi:10.1109/ojcoms.2025.3616289 · Cited by 8

A process calculus approach to detection and mitigation of PLC malware

Ruggero Lanotte, A., Merro, M., & Munteanu, A. (2021) · Theoretical Computer Science · doi:10.1016/j.tcs.2021.08.021 · Cited by 8

Model-based Cyber-attack Detection for Voltage Source Converters in Island Microgrids

Zhang, J., Ye, J., & Guo, L. (2021) · IEEE Energy Conversion Congress and Exposition (ECCE) · doi:10.1109/ecce47101.2021.9595899 · Cited by 8

Challenges and Pitfalls in Generating Representative ICS Datasets in Cyber Security Research

Mitseva, A., Thierse, P., Hoffmann, H., Er, D., & Panchenko, A. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-25460-4_22 · Cited by 8

Detecting security attacks in cyber-physical systems: a comparison of Mule and WSO2 intelligent IoT architectures

Roldán-Gómez, J., Boubeta-­Puig, J., Pachacama-Castillo, G., Ortiz, G., & Martínez, J. L. (2021) · PeerJ Computer Science · doi:10.7717/peerj-cs.787 · Cited by 8

Development of a method for securing the operator's situation awareness from manipulation attacks on NPP process data

Lee, C., Song, J. G., Lee, C. K., & Seong, P. H. (2021) · Nuclear Engineering and Technology · doi:10.1016/j.net.2021.12.011 · Cited by 7

Set-Valued State Estimation of Nonlinear Discretetime Systems and Its Application to Attack Detection

Liu, H., Han, Q., & Li, Y. (2024) · IEEE/CAA Journal of Automatica Sinica · doi:10.1109/jas.2023.124146 · Cited by 7

Cyber-Physical Security Vulnerabilities Identification and Classification in Smart Manufacturing: A Defense-in-Depth Driven Framework and Taxonomy

Rahman, M. H., & Shafae, M. S. (2025) · Journal of Computing and Information Science in Engineering · doi:10.1115/1.4068844 · Cited by 7

Mitigating Adversarial Reconnaissance in IoT Anomaly Detection Systems: A Moving Target Defense Approach based on Reinforcement Learning

Osei, A. B., Mtawa, Y. A., & Halabi, T. (2024) · EAI Endorsed Transactions on Internet of Things · doi:10.4108/eetiot.6574 · Cited by 9

Enhancing the Resiliency of Cyber-Physical Systems with Software-Defined Networks

Salazar, L., & Cárdenas, Á. A. (2019) · doi:10.1145/3338499.3357356 · Cited by 7

Enabling isolation and recovery in PLC redundancy framework of metro train systems

Josephlal, E. F. M., Adepu, S., Yang, Z., & Zhou, J. (2021) · International Journal of Information Security · doi:10.1007/s10207-020-00529-0 · Cited by 7

Security of Control Systems: Prevention of Aging Attacks by means of Convex Robust Simulation Forecasts

Escudero, C., Massioni, P., Scorletti, G., & Zamaï, É. (2020) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2020.12.445 · Cited by 7

Disconnection-Aware Attack Detection and Isolation With Separation-Based Detector Reconfiguration

Sasahara, H., Ishizaki, T., Imura, J., & Sandberg, H. (2021) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2021.3118213 · Cited by 7

Attack Identification for Nonlinear Systems Based on Sparse Optimization

Braun, S., Albrecht, S., & Lucia, S. (2021) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2021.3131433 · Cited by 7

Finding Causally Different Tests for an Industrial Control System

POSKITT, C. M., Chen, Y., Sun, J., & Jiang, Y. (2023) · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) · doi:10.1109/icse48619.2023.00215 · Cited by 7

The Vulnerability Analysis of Remote Estimation With Batch-Data Detectors Against Integrity Attacks

Yang, Y., Li, Y., Shi, Y., & Quevedo, D. E. (2023) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2023.3332013 · Cited by 7

Application of Dynamic Features of the Pupil for Iris Presentation Attack Detection

Czajka, A., & Becker, B. (2019) · Advances in computer vision and pattern recognition · doi:10.1007/978-3-319-92627-8_7 · Cited by 7

A Specification-Based Intrusion Prevention System for Malicious Payloads

Werth, A. W., & Morris, T. H. (2019) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-31239-8_13 · Cited by 7

Anomaly Detection Under Multiplicative Noise Model Uncertainty

Renganathan, V., Gravell, B., Ruths, J., & Summers, T. H. (2021) · IEEE Control Systems Letters · doi:10.1109/lcsys.2021.3134944 · Cited by 7

Efficient Predictive Monitoring of Linear Time-Invariant Systems Under Stealthy Attacks

Azzam, M., Pasquale, L., Provan, G. M., & Nuseibeh, B. (2022) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2022.3196809 · Cited by 7

Physics-Based Attack Detection for Traction Motor Drives in Electric Vehicles Using Random Forest

Yang, B., Guo, L., & Ye, J. (2021) · Conference proceedings/Conference proceedings - IEEE Applied Power Electronics Conference and Exposition · doi:10.1109/apec42165.2021.9487247 · Cited by 7

Accurate prediction of breast cancer survival through coherent voting networks with gene expression profiling

Pellegrini, M. (2021) · Scientific Reports · doi:10.1038/s41598-021-94243-z · Cited by 7

Testing Commercial Intrusion Detection Systems for Industrial Control Systems in a Substation Hardware in the Loop Testlab

Storm, J.-M., Houmb, S. H., Kaliyar, P., Erdődi, L., & Hagen, J. M. (2023) · Electronics · doi:10.3390/electronics13010060 · Cited by 6

Stealthy Insider Attack on Stochastic Event-Triggered Scheduler: Dealing With Non-Gaussian Components

Deng, Y., Yu, H., & Li, Y. (2024) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2024.3427005 · Cited by 6

Resilient Consensus-Based Target Tracking Under False Data Injection Attacks in Multi-Agent Networks

Ghods, A. A., & Doostmohammadian, M. (2025) · Signals · doi:10.3390/signals6030044 · Cited by 6

DT-Stark: a tool for evaluating the effectiveness of digital twins through feedback and perturbations

Castiglioni, V., Ruggero Lanotte, A., Loreti, M., & Tini, S. (2025) · International Journal on Software Tools for Technology Transfer · doi:10.1007/s10009-025-00826-w · Cited by 6

An OpenPLC-based Active Real-time Anomaly Detection Framework for Industrial Control Systems

Zheng, C., Wang, X., Luo, X., Fang, C., & He, J. (2022) · China Automation Congress (CAC) · doi:10.1109/cac57257.2022.10055121 · Cited by 6

Tiny Twins for detecting cyber-attacks at runtime using concise Rebeca time transition system

Moradi, F., Pourvatan, B., Asadollah, S. A., & Sirjani, M. (2023) · Journal of Parallel and Distributed Computing · doi:10.1016/j.jpdc.2023.104780 · Cited by 6

A Four-Layer Cyber-Physical Security Model for Electric Machine Drives Considering Control Information Flow

Yang, B., Yang, H., & Ye, J. (2024) · IEEE Journal of Emerging and Selected Topics in Power Electronics · doi:10.1109/jestpe.2024.3366089 · Cited by 6

Almost sure detection of the presence of malicious components in cyber–physical systems

Das, S., Dey, P., & Debasish Chatterjee, A. (2024) · Automatica · doi:10.1016/j.automatica.2024.111789 · Cited by 6

Enhanced Real-Time ATM-Based MPC for Electric Vehicles With Cyber–Physical Security Aspect

Arsalan, A., Papari, B., Timilsina, L., Muriithi, G., Moghassemi, A., Rahman, S. M. I., Buraimoh, E., Özkan, G., & Edrington, C. S. (2024) · IEEE Transactions on Transportation Electrification · doi:10.1109/tte.2024.3468887 · Cited by 6

Forensic Investigation of Industrial Control Systems Using Deterministic Replay

Walkup, G., Etigowni, S., Xu, D., Urias, V. E., & Han, L. (2020) · IEEE Conference on Communications and Network Security · doi:10.1109/cns48642.2020.9162232 · Cited by 6

Survey and new directions for physics-based attack detection in control systems

Urbina, D. I., Giraldo, J., Cárdenas, Á. A., Valente, J., Faisal, M. A., Tippenhauer, N. O., Ruths, J., Candell, R., & Sandberg, H. (2016) · doi:10.6028/nist.gcr.16-010 · Cited by 79

Anomaly-Based Detection and Classification of Attacks in Cyber-Physical Systems

Kreimel, P., Eigner, O., & Tavolato, P. (2017) · International Conference on Availability, Reliability and Security (ARES) · doi:10.1145/3098954.3103155 · Cited by 25

Cyber-Physical System Security through Anomaly-Aware Intelligent Monitoring

Ravichandran, S., Kalyanasundaram, H., & Elangovan, H. (2022) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.22843861

Cyber-Physical System Security Attack Detection Methods and Models

Kaur, G., Mehta, K., & Rajvanshi, S. (2024) · Chapman & Hall/CRC eBooks · doi:10.1201/9781003406105-5 · Cited by 3

Anomaly detection for cyber-physical systems

Rieger, C. G. (2025) · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)