An Analysis on Optimal Attack Schedule Based on Channel Hopping Scheme in Cyber-Physical Systems

Gan, Ruimeng; Xiao, Yue; Shao, Jinliang; Qin, Jiahu

doi:10.1109/tcyb.2019.2914144

Cited by 33 publications

(5 citation statements)

References 38 publications

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“…In [59][60][61], security in remote state approximation of MASs has been studied. Communication between remote approximator and sensor node was taken through wireless channel that may be attacked by a jamming attacker.…”

Section: Dos Attackmentioning

confidence: 99%

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An Overview of Recent Advances of Resilient Consensus for Multiagent Systems under Attacks

Aslam

Ahmed

et al. 2022

Computational Intelligence and Neuroscience

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Consensus control of multiagent systems (MASs) has been one of the most extensive research topics in the field of robotics and automation. The information sharing among the agents in the MASs depends upon the communication network because the interaction of agents may affect the consensus performance of the agents in a communication network. An unexpected fault and attack may occur on one agent and can propagate through the communication network into other agents. Thus, this may cause severe degradation of the whole MASs. In this paper, we first discussed MAS technologies. After that available technologies for the modeling of attacks and fundamental issues due to attacks on MAS attacks were discussed. We also introduced cooperative attack methodologies and model-based attack methodology. Objective of this article is to provide comprehensive study on recent advances in consensus control of MASs under attacks covering the published results until 2021. This survey presents different kinds of attacks, their estimation and detection, and resilient control against attacks. At the end, the survey accomplishes some potential recommendations for future direction to solve the key issues and challenges reported for secure consensus control of MASs.

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Section: Dos Attackmentioning

confidence: 99%

“…For maximization of linear quadratic Gaussian used optimal jamming attack, it controls cost function while supposed energy constraints studied in [59,60,62]. Corresponding cost and optimal jamming agenda were consequent after studying the usage of cost function under a free attack agenda.…”

Section: Dos Attackmentioning

confidence: 99%

An Overview of Recent Advances of Resilient Consensus for Multiagent Systems under Attacks

Aslam

Ahmed

et al. 2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

show abstract

“…Early research work assumed that data packet loss is only related to DoS attacks, meaning that data packets must arrive when there is no attack. 13,14 However, factors such as signal degradation, channel fading, and channel congestion in wireless channels may cause random packet loss. 15 Researchers believe that even in the absence of attacks, there is still a certain probability of packet loss.…”

Section: Introductionmentioning

confidence: 99%

“…This article focuses on DoS attacks, which block wireless communication channels and therefore affect the arrival rate of data packets. Early research work assumed that data packet loss is only related to DoS attacks, meaning that data packets must arrive when there is no attack 13,14 . However, factors such as signal degradation, channel fading, and channel congestion in wireless channels may cause random packet loss 15 .…”

Section: Introductionmentioning

confidence: 99%

Optimal denial‐of‐service attack scheduling for remote state estimation with time‐varying interference power

Yang,

Ni,

et al. 2024

Intl J Robust & Nonlinear

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This article examines resource scheduling optimization for cyber‐physical systems that include a smart sensor, a remote estimator, and an attacker. The attacker's objective is to use denial‐of‐service (DoS) attack to jam the wireless channel, causing packet loss and reducing system performance. We consider a more realistic scenario where other interfering sources exist and conduct research based on the signal‐to‐interference‐plus‐noise ratio (SINR) model. Through this model, we investigate two cases: constant high or low interference power and time‐varying interference power. Different levels of attack power lead to varying packet loss rates, and the same attack power may result in different packet loss rates in different interference environments. Therefore, the attacker needs to consider the impact of other interferences to find the optimal attack strategy that increases the estimation error of the information‐physical system while reducing energy consumption. We describe this optimization problem in a Markov decision process (MDP) framework and demonstrate the existence of an optimal deterministic Markovian strategy. We also establish the monotonicity of the optimal strategy in two different cases and investigate the extreme case. Simulation results support our theoretical results.

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“…They proved that the optimal DoS attack policy has a threshold structure. Gan et al [14] investigated the DoS attack design in a CPS where the channel hopping mechanism is used by the sensor. Note that these aforementioned works all assume that the successful transmission probability of the channel is either 1 (with no attack) or 0 (with attack).…”

mentioning

confidence: 99%

Strategic DoS Attack in Continuous Space for Cyber-Physical Systems Over Wireless Networks

Huang,

Tsang,

et al. 2022

IEEE Trans. on Signal and Inf. Process. over Networks

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In cyber-physical systems (CPSs), it is typical that a sensor observes a dynamical process and transmits the state estimate to a remote estimator wirelessly. Security risks arise when a denial-of-service (DoS) attacker generates extra noise at some power level to reduce the successful transmission rate. Investigating the capability of such an attacker to endanger the system is an important research line in CPS security. However, most previous works have two restrictions, one is that the attacker has complete knowledge of the system, which is usually difficult to achieve, and the other is that the attack power level set is small and discrete, which reduces the attack effectiveness and is hard to be implemented in multi-process systems due to the curse of dimensionality. In this paper, we tackle these restrictions by establishing a continuous attack power design for a DoS attacker with limited information. We propose deep deterministic policy gradient (DDPG)-based attack designs in single-process and multi-process systems, respectively. Numerical simulations illustrate the advantages of DDPG-based attack designs over heuristic baselines and existing learning methods.

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An Analysis on Optimal Attack Schedule Based on Channel Hopping Scheme in Cyber-Physical Systems

Cited by 33 publications

References 38 publications

An Overview of Recent Advances of Resilient Consensus for Multiagent Systems under Attacks

An Overview of Recent Advances of Resilient Consensus for Multiagent Systems under Attacks

Optimal denial‐of‐service attack scheduling for remote state estimation with time‐varying interference power

Strategic DoS Attack in Continuous Space for Cyber-Physical Systems Over Wireless Networks

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