Network flow rate abnormality detecting method based on super stochastic theory
A network traffic and anomaly detection technology, which is applied in the fields of network information security and mathematical statistics, can solve the problems of limited use of long-term correlation models, difficulty in accurately describing long-term correlation and heavy-tail characteristics of network traffic, and difficulty in describing long-term correlation models. The effect of speeding up calculations
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[0021] Such as figure 1 As shown, the method of the present invention includes the following steps:
[0022] (1) Choose a distribution model according to the actual characteristics of network traffic, and the distribution meets the requirements of network traffic distribution fitting inspection;
[0023] For the specific characteristics of network traffic, a suitable distribution model can be selected to fit the local network traffic. The distribution model must be able to describe the characteristics of the local network traffic time series and the distribution model must pass the local network traffic distribution fitting test, such as general The Pearson fit test method, Kolmogorov-Smirnov test and test methods for specific distribution models, such as W test and D test for normal distribution. The early network traffic due to the simple network structure and less network services, some commonly used distribution models such as: Poisson distribution model, normal distribution ...
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