Attack models and scenarios for networked control systems

481 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

A Survey of Physics-Based Attack Detection in Cyber-Physical Systems (2018, background): “If we trust the sensors but do not trust either the actuators or the PLCs, then we can still detect attacks, unless they are zero-dynamic attacks [83, 102, 103] (although not all physical systems are vulnerable to these attacks).”
Detecting Cyber Attacks in Industrial Control Systems Using Convolutional Neural Networks (2018, methodology): “Anomaly detection methods can be based on rules or models of the system [35] [42] [22].”
Optimal Linear Cyber-Attack on Remote State Estimation (2017, methodology): “Attack models, such as Denial-ofService (DoS), replay, false data injection and zero dynamic attacks were analyzed in [8].”
Optimal Denial-of-Service Attack Scheduling With Energy Constraint (2015, background): “Researchers have investigated security issues in CPS from different perspectives recently [7], [8].”
Revealing stealthy attacks in control systems (2012, methodology): “Attacker model In this work we consider the attacker model for zerodynamics attacks described in [11].”
A secure control framework for resource-limited adversaries (2012, background): “The material in this paper is an extension of the authors’ preliminary work, see [27].”