Cascading Failures on Reliability in Cyber-Physical System

Zhang, Zuyuan; An, Wei; Shao, Faming

doi:10.1109/tr.2016.2606125

Cited by 44 publications

(18 citation statements)

References 31 publications

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“…Several research works describe CPSs as networks of small clusters of sub‐networks, interconnected by communication links, fragile to cascading failures . Furthermore, the literature includes many studies– that address this problem in complex systems, many of which cover the domain of power grids, which represent typical CPSs.…”

Section: Reliability In Cpssmentioning

confidence: 99%

“…Several research works describe CPSs as networks of small clusters of sub-networks, interconnected by communication links, fragile to cascading failures. 13,14 Furthermore, the literature includes many studies [15][16][17][18] that address this problem in complex systems, many of which cover the domain of power grids, which represent typical CPSs. In power grids, it has been proven that they have a higher rate of occurrences with effects such as electrical instability and large blackouts.…”

Section: Reliability Assurancementioning

confidence: 99%

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Reliability, failure detection and prevention in cyber‐physical systems (CPSs) with agents

Sanislav

Zeadally

Moiş

et al. 2018

Concurrency and Computation

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Summary The complexity of cyber‐physical systems (CPSs) opens up several challenges regarding the assurance of high levels of reliability. Therefore, we need to develop a new data quality analysis and new CPS components/subsystems for the detection, isolation, recovery, and prevention of failures and intrusion events. Furthermore, we have to develop new reliability assessment models and metrics in order to properly evaluate CPSs. Agent technologies, through their characteristics such as autonomy, social ability, reactivity, and proactivity, have the potential to address these challenges and requirements. We propose a multi‐agent based solution, namely ReliaCPS, for detecting and preventing the failures of the system components of CPSs. We also use a case study of a CPS for monitoring ambient parameters to evaluate the performance of the proposed approach. Our results indicate improvements in terms of reliability metrics (32.69% for the mean time between failures and mean time to failure, 50% for the mean time to repair and 0.94% for reliability function over time).

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Section: Reliability In Cpssmentioning

confidence: 99%

Section: Reliability Assurancementioning

confidence: 99%

Reliability, failure detection and prevention in cyber‐physical systems (CPSs) with agents

Sanislav

Zeadally

Moiş

et al. 2018

Concurrency and Computation

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“…is implies that the evaluation of node importance is directly related to determining the merits and failures of a cascading failure model [34]. Most of the existing cascading failure models of C2 networks directly use the single index such as degree of the nodes [4,11] or betweenness [35] to quantify the initial load of nodes. e complexity of a C2 network structure makes it difficult for a single index to accurately measure the importance of the nodes.…”

Section: Establishing a Cascading Failure Model Formentioning

confidence: 99%

“…e role of cascading failure mechanisms can have a substantial impact on the entire network, even resulting in its collapse [8,9]. In other words, cascading failure of C2 networks can be more destructive than common faults [10,11]. erefore, studying the cascading failure mechanism of C2 networks with complex network theory is of great significance to contain the probability of cascading failure and improve network invulnerability.…”

Section: Introductionmentioning

confidence: 99%

Cascading Failure Model for Command and Control Networks Based on an m-Order Adjacency Matrix

Wang

Chen

et al. 2018

Mobile Information Systems

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Cascading failure models for command and control networks (C2 networks) continue to be a challenging and important research area. Current solutions share a common limitation because the solutions focus only on the importance of each node in isolation using one index rather than considering the contribution degree of neighboring nodes, which makes the initial load definition inaccurate and affects the cascading invulnerability of the network. To address this limitation, a new cascading failure model for C2 networks is proposed. The new model CFMAdjM, which is based on an m-order adjacency matrix, proposes a method of initial load definition using the contribution degree of m-order neighboring nodes and defines the nonlinear load capacity model according to the nonlinear relationship between load and capacity. Finally, the influence of model parameters on the cascading failure of C2 networks is analyzed through simulation, and the results demonstrate that the new model effectively resists the cascading failure and enhances the survivability of the network by defining the initial load and adjusting the coefficient appropriately.

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“…In this article, we study the survivability of CPS based on reliability. For convenience, some definitions are listed as follows: Definition 1 [6]. Suppose the edges of graph G never fail and the nodes fail independently with probability 1 − p, then the reliability of graph G is…”

Section: Introductionmentioning

confidence: 99%

Survivability Analysis on a Cyber-Physical System

2017

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A cyber-physical system (CPS) is composed of interdependent physical-resource and cyber-resource networks that are tightly coupled. The malfunction of nodes in a network may trigger failures to the other network and further cause cascading failures, which would potentially lead to the complete collapse of the entire system. The number and communication of operating nodes at stable state are closely related to the initial failure nodes and the topology of the network system. To address this issue, this paper studies the survivability of CPS in the presence of initial failure nodes, proposes (m, k)-survivability, which is defined as the probability that at least k nodes are still working in CPS after m nodes are attacked, and discusses the problem of cascading failure based on reliability (CFR). Further, we propose an algorithm to calculate (m, k)-survivability and find that the minimum survivability of system with regular allocation strategy decreases with k for a fixed m, and the proportion of initial failure node groups that cause the system to completely fragment increases with m. The simulation shows the properties and the result of CFR of the system with 12 nodes.

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Cascading Failures on Reliability in Cyber-Physical System

Cited by 44 publications

References 31 publications

Reliability, failure detection and prevention in cyber‐physical systems (CPSs) with agents

Reliability, failure detection and prevention in cyber‐physical systems (CPSs) with agents

Cascading Failure Model for Command and Control Networks Based on an m-Order Adjacency Matrix

Survivability Analysis on a Cyber-Physical System

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