2017
DOI: 10.1002/cpe.4282
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Secure communication scheme analysis via complex networks

Abstract: Summary Recently, some existing works have introduced novel way to construct complex networks from embedded time series, which provides new sights into the organizational properties of the time series in phase space. In this paper, we attempt to answer the fundamental question of “how much information regarding the dynamic property of the original time series can be extracted from these networks.” To this end, we propose a new method for reconstructing time series from the networks. We compare the reconstructe… Show more

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Cited by 2 publications
(1 citation statement)
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“…Zhou et al study to enhance the service reliability by designing a novel network failure–aware redundant virtual machine placement approach in a cloud data center. Ding et al attempt to answer the fundamental question of “how much information regarding the dynamic property of the original time series can be extracted from these networks.” Lai et al study the issue of improving the performance of Markov chain Monte Carlo method to solve local PageRank problem under General Purpose Graphics Processing Unit environment. In order to effectively solve this problem, Bayes belief model is applied by Xing et al to generate the initial dispensation plan, and learnable ant colony optimization is proposed to solve task scheduling subproblem.…”
mentioning
confidence: 99%
“…Zhou et al study to enhance the service reliability by designing a novel network failure–aware redundant virtual machine placement approach in a cloud data center. Ding et al attempt to answer the fundamental question of “how much information regarding the dynamic property of the original time series can be extracted from these networks.” Lai et al study the issue of improving the performance of Markov chain Monte Carlo method to solve local PageRank problem under General Purpose Graphics Processing Unit environment. In order to effectively solve this problem, Bayes belief model is applied by Xing et al to generate the initial dispensation plan, and learnable ant colony optimization is proposed to solve task scheduling subproblem.…”
mentioning
confidence: 99%