Attack Detection and Identification in Cyber-Physical Systems
By Fabio Pasqualetti, Florian Dörfler, Francesco Bullo. IEEE Transactions on Automatic Control, 2013
1,990 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Computer Networks and Communications, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/e9c60eda5ebc4cbac2917ed1cd3513cef4cf6e0e
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In Computational Theory and Mathematics
In Computer Networks and Communications
- Qing-Long Han
- Xianming Zhang
- Xiaohua Ge
- Chen Peng
- Lei Ding
- Dong Yue
- Zidong Wang
- Karl Henrik Johansson
In Control and Systems Engineering
- Qing-Long Han
- Xiaohua Ge
- Xianming Zhang
- Chen Peng
- Lei Ding
- Derui Ding
- Karl Henrik Johansson
- Zidong Wang
Citations in the corpus
- Survey of intrusion detection systems: techniques, datasets and challenges (2019, background): “Dissimilar to a typical attack, the primary target of Stuxnet was probably Cold boot, evil maid (Pasqualetti et al., 2013).”
- RoboADS: Anomaly Detection Against Sensor and Actuator Misbehaviors in Mobile Robots (2018, background): “Most works only handle linear systems [15]–[21] or switched nonlinear systems [22].”
- Resilient Linear Classification: An Approach to Deal with Attacks on Training Data (2017, positive): “A mathematical framework considering attacks on CPS is proposed in [10, 41].”
- Decentralized Adaptive Fuzzy Secure Control for Nonlinear Uncertain Interconnected Systems Against Intermittent DoS Attacks (2019, methodology): “SIMULATION EXAMPLE In the simulation, we will consider a power network system [6], [40], which is composed of two interconnected synchronous generators described by δ̇i = ωi ω̇i = Di 2Hi ωi + ω0 2Hi ( Pmi + Pei) Ṗmi = 1 Ti (− Pmi − ki ωi + ui + di(t)) (35) where i = 1, 2, for the ith network generat”
- On the Secondary Control Architectures of AC Microgrids: An Overview (2020, background): “The effects of malicious cyber-attacks on CI such as denial of service [108], [202]–[204] and false-data injection attacks,”
- Event-Triggered State Observers for Sparse Sensor Noise/Attacks (2013, neutral): “The work reported in [8] addresses the detection of attacks through monitors inspired by the fault detection and isolation literature.”
- Distributed Event-Triggered Estimation Over Sensor Networks: A Survey (2020, methodology): “Arguably, the following two attack detection approaches have been widely employed in the context of a distributed secure estimation framework: 1) χ2-detector approach based on statistical analysis [134]– [136] and 2) fault detection and isolation approach based on residual analysis [62], [137].”
- A systems and control perspective of CPS security (2019, background): “isolating the attack from the system [14].”
- A Survey of Physics-Based Attack Detection in Cyber-Physical Systems (2018, background): “A similar emphasis on attack detection and on identifying undetectable attacks but ignoring false alarms can be seen in the control theory community [83]; at the end of the day, you can detect all attacks by generating an alert at every single time-step k , but this will give raise to an…”
- Event-Triggered Control Systems Under Denial-of-Service Attacks (2017, background): “2613445 [3] and the reference therein, whereas DoS attacks, induced by radio-interference signals (also referred to as jamming signals), typically cause periods in time at which communication is not possible, see, for instance, [4].”
- Networked control systems: a survey of trends and techniques (2020, background): “Recently, in the context of multi-agent coordination control, for the th agent, a dynamical ETS is proposed as [111]”
- Input-to-State Stabilizing Control for Cyber-Physical Systems With Multiple Transmission Channels Under Denial of Service (2018, background): “Especially, since CPSs, where the cyber and physical components are connected by information system, are vulnerable to cyber-threats, a lot of efforts have been made for security problems in sensing, communication, and control: cyber-attack mitigation [8], [9], Luenberger observerbased attack detect”
- Secure Control Systems: A Quantitative Risk Management Approach (2015, background): “Relevant work on the security of networked control system using continuous-time models may be found in [9] and [10].”