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A configuration and interaction method of distributed artificial neural network on SDN

A technology of artificial neural network and interaction method, applied in the field of configuration and interaction of distributed artificial neural network DANN on SDN, can solve the problems of lack of friendly interactive interface, no neural network setting, ease of operation and flexibility discount, etc.

Active Publication Date: 2018-07-24
SUN YAT SEN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] At present, there are only a handful of interactive interfaces based on artificial neural networks in SDN. Although many controllers have UI interfaces, they do not have neural network settings. Interactive interface, ease of operation and flexibility greatly reduced

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  • A configuration and interaction method of distributed artificial neural network on SDN
  • A configuration and interaction method of distributed artificial neural network on SDN
  • A configuration and interaction method of distributed artificial neural network on SDN

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Embodiment Construction

[0041] In the following description, for purposes of explanation, numerous examples and details are set forth in order to understand specific embodiments. It will be apparent, however, to one skilled in the art that certain examples may be practiced without some of these details. This system is based on the basic platform of SDN distributed security system, and proposes a user-friendly GUI for flexible control of custom DANN.

[0042] A configuration and interaction method of a distributed artificial neural network on SDN, including SDN network topology creation, topology information collection, SDN network topology information display, flow table addition and flow table deletion.

[0043] The SDN network topology creation methods include:

[0044] The interface provides a drop-down list for users to choose the topology type they need to create. For example, 6-4-1 means that the input layer contains 6 neurons, the middle layer contains 4 neurons, and the output layer contains...

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Abstract

The invention provides a method for configuring DANN onto SDN and an interaction method between them. The method is performed in such a way that GUIs (graphical user interface) are developed based on Qt in the Linux system with the purpose for interactions with direct ways featuring visible windows, menus and icons to facilitate a non-professional user to configure DANN. With the method, it is possible to realize the designs of configurations in an SDN network and an interaction system, to add or delete flow entries of an SDN network, to detect attack types, to build a one-to-many DANN and to change the defensive direction according to time and periodical training model parameters. In addition to that, it is also possible to detect the access to system resources of an SDN system such as a switch, a virtual machine, and a network topology and to display statistical data interaction interfaces.

Description

technical field [0001] The present invention relates to the field of distributed artificial neural networks, and more specifically, relates to a configuration and interaction method of a distributed artificial neural network DANN (Distributed Artificial Neural Network) on SDN. Background technique [0002] SDN is a new network architecture based on software technology. It technically solves the limitations of network scalability, security, and service carrying capacity of TCP / IP traditional network architecture. It is a dynamic network operation mode. [0003] Artificial Neural Network (ANN) is a mathematical model that imitates the structure and function of biology. It is calculated by a large number of neurons and can change the self-adaptive system of the internal structure on the basis of external information. ANNs typically appear as interconnected "neurons" that compute input values ​​by feeding information through the network. ANN usually includes a collection of ada...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06N3/04G06N3/08G06F3/0482G06F3/14H04L29/08
CPCG06F3/0482G06F3/14G06N3/04G06N3/08H04L67/025H04L67/08
Inventor 余顺争黄锡柱
Owner SUN YAT SEN UNIV
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