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Analysis of vulnerability propagation for the all-optical network based on Bio-PEPA

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Abstract

Aiming at the vulnerability propagation of all-optical networks, combining with the characteristics of the all-optical network, a formal modeling and analysis method for vulnerability propagation based on Bio-PEPA is proposed in this paper. First of all, the main characteristics that influence the vulnerability propagation are analyzed. Then, the optical fibers, optical amplifiers and optical switches are abstract into three different clusters, and the propagation behavior of vulnerability in intra-cluster and inter-cluster are described accurately. In addition, Ordinary Differential Equations is used for model parsing. Finally, through testing the main factors of vulnerability propagation, such as the number of nodes with potential vulnerability, system detection and repair rate, it is shown that the model constructed in this paper can reflect the vulnerability propagation trend of all-optical networks reasonably. At the same time, the proposed method can avoid the state space explosion problem of traditional modeling methods.

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Acknowledgements

This work is supported by the National Natural Science Foundation of China (61403109), the Specialized Research Fund for the Doctoral Program of Higher Education of China (20112303120007) and the Scientific Research Fund of Heilongjiang Provincial Education Department (12541169).

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Authors and Affiliations

  1. School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China

    Zhong-Nan Zhao & Jian Wang

  2. School of Computer Science and Technology, Harbin Engineering University, Harbin, China

    Zhong-Nan Zhao

  3. Department of Mathematics, Heilongjiang Institute of Technology, Harbin, China

    Hong-Wei Guo

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  1. Zhong-Nan Zhao
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  2. Jian Wang
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Correspondence to Zhong-Nan Zhao.

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Zhao, ZN., Wang, J. & Guo, HW. Analysis of vulnerability propagation for the all-optical network based on Bio-PEPA. Wireless Netw 25, 3513–3529 (2019). https://doi.org/10.1007/s11276-019-01947-2

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  • DOI: https://doi.org/10.1007/s11276-019-01947-2

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