Robustness of Random Scale-Free Networks against Cascading Failure under Edge Attacks

Dong, Lin; Tan, Mao

doi:10.12720/jcm.11.12.1088-1094

Cited by 3 publications

(3 citation statements)

References 25 publications

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“…e interdependence between nodes leads to a node failure chain reaction called cascading failure [26]. Cascading failures will have a significant impact on CPS.…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Cascading Failure Dynamics against Intentional Attack for Interdependent Industrial Internet of Things

et al. 2021

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The emerging Industrial Internet of Things (IIoT) provides industries with an opportunity to collect, aggregate, and analyze data from sensors, including motion control, machine-to-machine communication, predictive maintenance, smart energy grid, big data analysis, and other smart connected medical systems. The physical systems and the cyber systems are organically integrated, forming an interdependent IIoT. This system provides us with enormous advantages, but at the same time, it also introduces the main safety challenges in the design and operation phase. To exploit the security threats of IIoT systems, in this paper, we propose a novel security-by-design approach for interdependent IIoT environments across two different levels, namely, theory modeling and runtime simulation. Our method theoretically analyzes the cascading failure dynamics of the intentional attack network. Simultaneously, we verified the theoretical results through simulations and gave the risk factors that affect the system’s security to mitigate potential security attack threats. Besides, we prove its applicability through comparative simulation experiments to study application environments that rely on IIoT, which shows that our method helps identify risk factors and mitigate IIoT attacks’ mechanism.

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“…e interdependence between nodes leads to a node failure chain reaction called cascading failure [26]. Cascading failures will have a significant impact on CPS.…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Cascading Failure Dynamics against Intentional Attack for Interdependent Industrial Internet of Things

et al. 2021

View full text Add to dashboard Cite

show abstract

“…e node failure chain reaction occurs between the two networks, resulting in cascading failures [23]. erefore, it is necessary to study CPS's safety and robustness.…”

Section: Introductionmentioning

confidence: 99%

Security Situation Awareness Assessment of Heterogeneous Cyber-Physical Systems in Multiple Load Mode

Yang

Xie

Qian

et al. 2022

Security and Communication Networks

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As the Internet of Things technology develops rapidly, cyber-physical systems (CPSs) have provided critical technologies in the industrial field. A smart grid is a typical application of the CPS, which is formed by the coupling of the power network and communication network. In general, the two networks are heterogeneous. Considering the characteristics of the power network, the ordinary percolation network model is not suitable for the network carrying physical flow. Therefore, we propose an interdependent network model with a load. That is, nodes in the physical network have loaded. Then, we research the security of CPS under the multi-load mode. The rule for node failure is different from the percolation model. When a node’s load exceeds its capacity, the node fails. Through the theoretical analysis, we obtained the iterative equation of the percolation threshold and analyzed it through simulation experiments. We adopt both linear and nonlinear capacity models. It is found that appropriately increasing the average degree of ER network can improve its ability to resist attacks. In contrast, the power exponent of the SF network has less influence on the critical value of network percolation. In addition, we found that increasing the capacity parameter in the linear capacity model can improve the robustness of the network, where the variation of the ER-ER network is more evident than that of the SF-SF network. Increasing the capacity parameter in the nonlinear capacity model can significantly increase the network’s ability to resist attacks. However, due to the increase in economical cost, we can improve the network’s reliability by increasing the node capacity while controlling the cost.

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“…e traditional research on network robustness focused on isolated single networks [32,33], which is not enough to describe the robustness of interdependent networks. Although some studies are aimed at interdependent networks, most of them are simple one-to-one network connections [34][35][36]. Starting from the one-to-one interdependence model of Buldyrev [37], scholars began to use this percolation theory method to widely study the cascade failure of IoT systems [38,39].…”

Section: Introductionmentioning

confidence: 99%

Cascading-Failures Effect on Heterogeneous Internet of Things Systems under Targeted Selective Attack

Yang

Qian

Zhang

et al. 2022

Security and Communication Networks

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With the rapid development of the Internet of Things (IoT), the physical system and the network space are further deeply integrated, forming a larger-scale IoT heterogeneous fusion system. The attack mode considered in the security mechanism research of traditional large-scale complex systems is relatively simple; only simple attack types such as random attacks on physical systems or network systems are considered. In addition, existing attack modalities such as selectivity, locality, and distribution cannot fully consider the characteristics of security threats in the IoT system. In this paper, for large-scale heterogeneous IoT system scenarios, attackers can attack network systems or physical systems through cyberspace. We conduct situational awareness analysis on important traffic nodes or backbone nodes and study the cascading failures of two interdependent heterogeneous space systems. In view of the existence of such targeted attack threats in large-scale IoT heterogeneous systems, we focus on security assessment and risk prediction issues. First, this paper analyzes and models different IoT heterogeneous systems. Then using the penetration theory, we analyze the cascading failure process step by step and obtain the critical threshold for system collapse failure. Finally, we further verify the correctness of the theoretical values through simulation to effectively analyze and illustrate the reliability of the parameters affecting the system risk. The experimental results show that the large-scale IoT heterogeneous system presents a first-order discontinuous transition value near the critical threshold and the power-law index of the SF network has little effect on the system security.

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Robustness of Random Scale-Free Networks against Cascading Failure under Edge Attacks

Cited by 3 publications

References 25 publications

[Retracted] Cascading Failure Dynamics against Intentional Attack for Interdependent Industrial Internet of Things

[Retracted] Cascading Failure Dynamics against Intentional Attack for Interdependent Industrial Internet of Things

Security Situation Awareness Assessment of Heterogeneous Cyber-Physical Systems in Multiple Load Mode

Cascading-Failures Effect on Heterogeneous Internet of Things Systems under Targeted Selective Attack

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