Differential WGAN based network security situation prediction method

A network security and situational technology, applied in the direction of data exchange network, digital transmission system, electrical components, etc., can solve problems that have not been completely solved

Inactive Publication Date: 2019-01-01
CHONGQING UNIV OF POSTS & TELECOMM
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But in fact, this method does not completely solve the problem

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  • Differential WGAN based network security situation prediction method
  • Differential WGAN based network security situation prediction method
  • Differential WGAN based network security situation prediction method

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[0067] In order to express the object, technical solution and advantages of the present invention more clearly, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific implementation cases.

[0068] figure 1 The differential WGAN flow chart used in the present invention specifically includes:

[0069] The generative formula can describe the data distribution characteristics of the samples through the essential characteristics of the real data, and generate new data similar to the training samples. GAN is a generative model proposed by Goodfellow et al. in 2014. It is different from the traditional generative model. In addition to the generative network, it also includes a discriminant network in the network structure. There is an adversarial relationship between the generation network and the discriminative network. Confrontation comes from the idea of ​​game theory. In an equal game, both sides of the game u...

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Abstract

The invention provides a differential WGAN based network security situation prediction method. The GAN (Generative adversarial network) is used to simulate the development process of situation, and the situation is predicted in the time dimension. A loss function with the Wasserstein distance as the GAN is used to solve the problem that the GAN is hard to train and instable in collapse mode and gradient, and a differential item is added to the loss function to improve the classification precision of a situation value. The stability of the differential WGAN network is proved. According to experimental results and analysis, the mechanism has advantages in the aspects in convergence, prediction precision and complexity compared with other mechanisms.

Description

technical field [0001] The invention relates to the technical field of network security situation prediction machine learning, in particular to network security situation prediction based on differential WGAN. Background technique [0002] Nowadays, the global cyberspace is facing huge security challenges, such as frequent national hacking incidents, continuous attacks on critical infrastructure and the Internet of Things, the prevalence of ransomware, serious data leakage, etc. How the future network security will develop and how to accurately predict the network security situation will be the focus of future research. Network security situation prediction is the ultimate goal of Network Security Situation Awareness (NSSA). [0003] In the field of network security, situation prediction has become a hot topic. Network security situation prediction is to analyze and predict the possible development trend of the network situation in the future by using expert knowledge and ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/06H04L12/24
CPCH04L41/14H04L41/145H04L63/20
Inventor 王永王婷婷朱江
Owner CHONGQING UNIV OF POSTS & TELECOMM
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