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A taylor neural network-based intrusion detection method and system

A neural network and intrusion detection technology, applied in the field of network security, can solve problems such as irrelevance of intrusion detection data features

Active Publication Date: 2022-04-01
江西省海博信息科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] For this reason, the embodiment of the present application provides an intrusion detection method and system based on Taylor neural network, which overcomes problems such as irrelevance of intrusion detection data features, and effectively improves the intrusion detection performance of the neural network.

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  • A taylor neural network-based intrusion detection method and system
  • A taylor neural network-based intrusion detection method and system
  • A taylor neural network-based intrusion detection method and system

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Embodiment Construction

[0089] The implementation mode of the present invention is illustrated by specific specific examples below, and those who are familiar with this technology can easily understand other advantages and effects of the present invention from the contents disclosed in this description. Obviously, the described embodiments are a part of the present invention. , but not all examples. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0090] Relevant researchers at home and abroad have conducted in-depth research on intrusion detection technology, and proposed a variety of intrusion detection algorithms based on machine learning, data mining and neural networks. However, most machine learning algorithms are too complex, the model training time is too long, and the calculation cost is high; data mining algorithms are sensitive ...

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Abstract

The embodiment of this application discloses an intrusion detection method and system based on the Taylor neural network. Aiming at the characteristics of the attack data at the present stage, a new type of neuron—Taylor neuron (TN) is proposed, and the Taylor neuron (TN) is designed using the Taylor neuron. The neural network layer (TNL), combined with the traditional neural network (DNN), builds a Taylor neural network (TNN) intrusion detection algorithm suitable for the characteristics of the intrusion data. The artificial bee colony algorithm based on Gaussian process is introduced into Taylor neural network, and the intrusion detection models of Simple_TNN and Multi_TNN are established. Experiments have proved that Simple_TNN and Multi_TNN using GABC have obvious advantages over traditional intrusion detection algorithms such as DNN.

Description

technical field [0001] The embodiment of the present application relates to the technical field of network security, in particular to an intrusion detection method and system based on Taylor neural network. Background technique [0002] The Internet and computer systems have become an important part of modern social life, which brings about security issues. become a key factor affecting social stability. [0003] Therefore, how to identify network intrusion behavior has become a matter of great concern to all walks of life. Intrusion detection technology, as a new security mechanism capable of detecting and defending against malicious software, has gradually developed into a key technology for protecting network security. Contents of the invention [0004] To this end, the embodiment of the present application provides an intrusion detection method and system based on a Taylor neural network, which overcomes problems such as irrelevance of intrusion detection data featur...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L9/40H04L41/142G06N3/08G06N3/04
CPCH04L63/1408H04L63/20H04L41/142G06N3/086G06N3/084G06N3/045
Inventor 王振东张林王俊岭李大海杨书新
Owner 江西省海博信息科技有限公司