Designing Optimal Interlink Patterns to Maximize Robustness of Interdependent Networks Against Cascading Failures

Chattopadhyay, Srinjoy; Dai, Huaiyu; Eun, Do Young; Hosseinalipour, Seyyedali

doi:10.1109/tcomm.2017.2709302

Cited by 43 publications

(25 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, the ∆H problem is recognized as a design problem of an entire interdependent network discussed in [11] under these assumptions. Also, the work [22] claims that such a one-to-one provisioning relation realizes the robustness, while assuming certain structural characteristics of random graphs.…”

Section: Problem Analysismentioning

confidence: 99%

Improving the Survivability of Clustered Interdependent Networks by Restructuring Dependencies

Ishigaki

Gour

Jue

2019

IEEE Trans. Commun.

View full text Add to dashboard Cite

The interdependency between different network layers is commonly observed in Cyber Physical Systems and communication networks adopting the dissociation of logic and hardware implementation, such as Software Defined Networking and Network Function Virtualization. This paper formulates an optimization problem to improve the survivability of interdependent networks by restructuring the provisioning relations. A characteristic of the proposed algorithm is that the continuous availability of the entire system is guaranteed during the restructuring of dependencies by the preservation of certain structures in the original networks. Our simulation results demonstrate that the proposed restructuring algorithm can substantially enhance the survivability of interdependent networks, and provide insights into the ideal allocation of dependencies.

show abstract

Section: Problem Analysismentioning

confidence: 99%

Improving the Survivability of Clustered Interdependent Networks by Restructuring Dependencies

Ishigaki

Gour

Jue

2019

IEEE Trans. Commun.

View full text Add to dashboard Cite

show abstract

“…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%

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

Sanislav

Zeadally

Moiş

et al. 2018

Concurrency and Computation

View full text Add to dashboard Cite

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).

show abstract

“…is failed otherwise (23) where represents the number of edges in the network. Compared with Figure 6, it is found that the failure propagation path in Table 5 is consistent with the traffic congestion propagation process, which indicates that the proposed cascade failure model can accurately reflect the failure process of the actual traffic network after encountering random attacks such as traffic accidents.…”

Section: Traffic Network Failure Process Under the Proposedmentioning

confidence: 99%

“…Li et al [22] proposed the cascading failure model in scalefree (SF) networks, Watts-Strogatz (WS) networks, and ER networks by considering random attacks and analyzed the cascading failure process of three networks compared with the highest-load attack. Chattopadhyay et al [23] provided the optimal interdependence structures in order to improve the network robustness under random attacks. Ruj et al [24] modeled the network cascading failure of smart grids under random attacks and deliberate attacks, which will increase the resilience of the smart grid.…”

Section: Introductionmentioning

confidence: 99%

Research on Cascading Failure Model of Urban Regional Traffic Network under Random Attacks

Xing

Yang

Zheng

2018

Discrete Dynamics in Nature and Society

View full text Add to dashboard Cite

For better describing the network cascading failure caused by random attacks such as traffic accidents, this paper introduces the ORNL-PSerc-Alaska (OPA) model to analyze the urban regional traffic network vulnerability. Firstly, the double-layer network model is built for analyzing the complex characteristics of the regional traffic network. Secondly, the cascading failure model is built to better describe the process of the network cascading failure under random attacks. Finally, by simulating the network failure process, the vulnerability of the traffic network will be pointed out, which provides the theoretical basis for avoiding the network cascading failure under random attacks.

show abstract

Designing Optimal Interlink Patterns to Maximize Robustness of Interdependent Networks Against Cascading Failures

Cited by 43 publications

References 23 publications

Improving the Survivability of Clustered Interdependent Networks by Restructuring Dependencies

Improving the Survivability of Clustered Interdependent Networks by Restructuring Dependencies

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

Research on Cascading Failure Model of Urban Regional Traffic Network under Random Attacks

Contact Info

Product

Resources

About