Detecting Integrity Attacks on SCADA Systems
By Yilin Mo, Rohan Chabukswar, Bruno Sinopoli. IEEE Transactions on Control Systems Technology, 2014
634 citations recorded by the source corpus.
Subfields: Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/99eef64f09011d24bb059bcfce68de80b0626732
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Control and Systems Engineering
- Qing-Long Han
- Xiaohua Ge
- Derui Ding
- Chen Peng
- Zidong Wang
- André M. H. Teixeira
- Ling Shi
- Henrik Sandberg
Citations in the corpus
- Secure State Estimation and Control of Cyber-Physical Systems: A Survey (2021, methodology): “In [59], the model-based techniques are developed to detect replaying attacks on the sensors of a SCADA system.”
- State estimation under false data injection attacks: Security analysis and system protection (2018, background): “As for dynamic systems, when the system model is unknown to the adversary, a specific type of deception attack called replay attack has been proposed and analysed in [15], [18], [25].”
- A systems and control perspective of CPS security (2019, methodology): “An application of watermarking in SCADA networks is introduced in [184].”
- Distributed Attack Detection and Secure Estimation of Networked Cyber-Physical Systems Against False Data Injection Attacks and Jamming Attacks (2018, background): “CYBER-PHYSICAL systems (CPSs) represent a new generation of systems that integrate computation resources, communication medium and physical processes [1], [2].”
- Optimal DoS Attack Scheduling in Wireless Networked Control System (2016, background): “, Denial-of-Service (DoS) attacks [10], replay attacks [11], and data injection attacks [7], on particular systems.”
- Secure Control Systems: A Quantitative Risk Management Approach (2015, methodology): “Instead, these attacks gather intelligence that may enable more complex attacks, such as replay attacks [36].”
- A Survey on Security Communication and Control for Smart Grids Under Malicious Cyber Attacks (2019, methodology): “Related estimation methods refer to least squares, minimum mean square error, mixture Gaussian distribution learning, Kalman filter [43], [86]–[88], etc.”
- A Survey of Physics-Based Attack Detection in Cyber-Physical Systems (2018, methodology): “Most of the stateful approaches that can be found in control theory papers focus on windowed χ 2 [76], and combinatorial optimization approaches [71].”
- Decentralized Adaptive Fuzzy Secure Control for Nonlinear Uncertain Interconnected Systems Against Intermittent DoS Attacks (2019, background): “The goal of deception attacks is to tamper transmitted information resulting in false or misleading feedback data [6], [7], which includes some typical attack models such as replay attack [4] and false data injection attack [5], [9].”