Resilient predictive control strategy of cyber–physical systems against FDI attack

Abstract

Self-triggered control strategy has been widely applied in cyber-physical systems, which are unavoidable to suffer various malicious cyber-attacks. This paper is aimed at solving the cyber security problem of self-triggered model predictive control in cyber-physical systems under false data injection attack, and a resilient control strategy is proposed based on control signal reconstruction. Firstly, the continuous control signal is discretely sampled at the controller side, and the key data samples are determined and protected. Then, the discretised control samples are transmitted through the network channel, based on which the control signal is reconstructed at the controlled system side according to a preset mode. It is further theoretically proved that the control signals reconstructed from the critical control samples can guarantee the feasibility and stability of the control system against the FDI attacks. Finally, a simulation verification on a robot system is conducted to verify the effectiveness of the proposed algorithm.

Event‐triggered adaptive secure lateral stabilization for autonomous vehicles under actuator attacks

“…then the following secure adaptive control law u r (𝜉(t)) = − k𝜒(𝜉(t)), (16) will ensure the input to state stability of lateral dynamics (11) of AVs under event-triggered communication scheme (10). Here, ̇k = 2𝛾||𝜉 T (t)P ⋆ ||𝜒(𝜉(t)),…”

An adaptive control scheme against state‐dependent sensor attacks and input‐dependent actuator attacks in cyber‐physical systems

“…Figure 3 depicts the performance of this system with these attacks. Further, Figure 4 shows the proposed correction signals ( 4), ( 5), (6), and ( 7) in terms of the the performance of the designed controller. The parameters 𝛾, L and R are taken as 𝛾 = 5, L = 2.5I 2 and R = I 2 .…”

“…Security issues of CPSs under attack have attracted extensive attention. Many control mechanisms have been developed to mitigate the impact of different kinds of attacks, for example, mechanisms for time-delay switch attacks [1][2][3], deception attacks [4][5][6][7][8][9][10][11][12][13],…”

“…Security issues of CPSs under attack have attracted extensive attention. Many control mechanisms have been developed to mitigate the impact of different kinds of attacks, for example, mechanisms for time‐delay switch attacks [1–3], deception attacks [4–13], replay attacks [14–17], and denial‐of‐service (DOS) attacks [18–23]. Recently, research on deception attacks has attracted more attention.…”

Resilient and event‐triggered sliding mode load frequency control for multi‐area power systems under hybrid cyber attacks

“…Physical attacks are mainly to destroy the facilities and equipments, for example, cutting the transmission lines. Cyber attacks typically target data transmission and processing process, for example, deception attacks [23], DoS attacks [24], or false data injection (FDI) attacks [25]. Particularly, the problem of distributed maximum correntropy filtering is investigated for general stochastic non-linear systems under deception attacks in [23].…”