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- W2321857140 abstract "The diversity and changeability of network attack make it difficult to conduct accurate prediction with traditional algorithms. Therefore, in this paper, the author would propose a network attack prediction algorithm based on chaos theory and LSSVM. The idea of this algorithm is forecasting the relationship between model parameters through time series of network attack frequency and optimizing model parameters with particle swarm optimization algorithm. Finally, conduct a simulation experiment with concrete network attack frequency data through prediction model of optimal parameters and compare it with other prediction algorithms. The experimental results prove that this algorithm is an reliable prediction algorithm with excellent generalization capability and it is more accurate than the comparison algorithm." @default.
- W2321857140 created "2016-06-24" @default.
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- W2321857140 date "2012-06-30" @default.
- W2321857140 modified "2023-09-25" @default.
- W2321857140 title "Study on the network attack prediction algorithm based on chaos theory and LSSVM" @default.
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- W2321857140 doi "https://doi.org/10.4156/jcit.vol7.issue11.28" @default.
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