Study on the Network Attack Prediction Algorithm Based on Chaos Theory and LSSVM

Provided by: AICIT
Topic: Security
Format: PDF
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.

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