Get Network Robustness under Large-Scale Attacks PDF

By Qing Zhou, Long Gao, Ruifang Liu, Shuguang Cui

Network Robustness lower than Large-Scale Attacks offers the research of community robustness less than assaults, with a spotlight on large-scale correlated actual assaults. The publication starts off with an intensive review of the newest examine and strategies to investigate the community responses to kinds of assaults over a variety of community topologies and connection types. It then introduces a brand new large-scale actual assault version coined as zone assault, lower than which a brand new community robustness degree is brought and utilized to check the community responses. With this e-book, readers will research the required instruments to judge how a posh community responds to random and probably correlated attacks.

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The simulation parameters are the same as in Fig. 2. Compared with the results in Fig. 2, the expected numbers of attacked links in the traditional random networks are much larger than the ones in the LCR random networks. In Fig. 4, we draw the theoretical and simulation results for the expected number of attacked links in one realization of the LCR random network. The simulation parameters are the same as in Fig. 2. 32). 5 Simulation Results 27 Fig. 8 Fig. 8 In Fig. 15. From the figure, we see that the simulation result for the LCR random network is close to the upper 28 5 Simulation Results Fig.

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We assume that the communication range of the LCR random network is the length of the link that is longer than 90 % of the total number of the links in this fiber network. 092. We observe that the simulation result on this fiber network matches the theoretical result very well and the result is not sensitive to the changing of l . However, in Fig. 9, the simulation result on the fiber network 30 5 Simulation Results Fig. 7 The expected number of attacked links in the fiber network of Level 3 Communications and the results of the fixed network case Fig.

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