Jamming Attacks on Remote State Estimation in Cyber-Physical Systems: A Game-Theoretic Approach

By Yuzhe Li, Ling Shi, Peng Cheng, Jiming Chen, Daniel E. Quevedo. IEEE Transactions on Automatic Control, 2015

403 citations recorded by the source corpus.

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Distributed Attack Detection and Secure Estimation of Networked Cyber-Physical Systems Against False Data Injection Attacks and Jamming Attacks (2018, background): “By formulating a game-theoretic framework, the interactive decision-making process between a manipulated sensor and an energy-constrained attacker was investigated in [6].”
Optimal Denial-of-Service Attack Scheduling With Energy Constraint Over Packet-Dropping Networks (2018, methodology): “They also studied the interactive decision making process between the sensor and the DoS attacker both with limited energy, and the optimal strategies for both sides were proved to constitute a Nash equilibrium in [16].”
SINR-Based DoS Attack on Remote State Estimation: A Game-Theoretic Approach (2017, methodology): “Deﬁne π i,k as the probability of state z i,k occurring at time k , that is then we can construct the probability matrix Π = [ π i,k ] ( T +1) × T based on the derivation in [13].”
Input-to-State Stabilizing Control for Cyber-Physical Systems With Multiple Transmission Channels Under Denial of Service (2018, neutral): “…understealthydeceptionattacks[11],Kalmanﬁlter-basedattacksde-tection[12],andremotestateestimation[13],justtonameafew.”
Optimal Linear Cyber-Attack on Remote State Estimation (2017, background): “[13] studied the interactive decision-making process of when to send and when to attack using a zero-sum game.”