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Intrusion detection method, system and device and readable storage medium

An intrusion detection and algorithm technology, applied in the field of network security, can solve problems such as low detection rate and high false alarm rate

Active Publication Date: 2021-04-16
江西省海博信息科技有限公司
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  • 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, system, device and readable storage medium, which effectively solves the problems of low detection rate and high false alarm rate of classical intrusion detection systems

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  • Intrusion detection method, system and device and readable storage medium
  • Intrusion detection method, system and device and readable storage medium
  • Intrusion detection method, system and device and readable storage medium

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Embodiment Construction

[0091] 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.

[0092] The Wide_deep model was proposed by Cheng et al. in June 2016. As a classic model used in recommendation systems, it has attracted extensive attention from researchers. This model jointly trains a linear model and a deep model. The memory ability of the linear model discovers the commonality in historical data by learning frequently occurring features, and is more inclined to samples of hi...

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Abstract

The embodiment of the invention discloses an intrusion detection method, system and device and a readable storage medium, provides an intrusion detection algorithm (VAE_AWRNN) jointly trained by a variational auto-encoder (VAE) and a recurrent neural network (RNN), and provides a window-based RNN model due to the fact that the RNN has the problems of gradient disappearance, long-term dependence and the like on a time axis. All information at the previous moment is stored, and the problems of gradient disappearance, long-term dependence and the like are effectively solved. Meanwhile, an artificial bee colony algorithm is proposed to optimize the RNN window number. The problems of low detection rate and high false alarm rate of a classic intrusion detection system are effectively solved.

Description

technical field [0001] The embodiments of the present application relate to the technical field of network security, and in particular to an intrusion detection method, system, device, and readable storage medium. Background technique [0002] With the continuous development of Internet technology, intrusion detection technology has become a key technology to protect network security. Intrusion detection technology protects networks and computers from attackers, detects different types of threats, and provides preventive measures for administrators. With the continuous change of data types and structures, the increase of Internet applications, and the continuous intelligence and standardization of network attacks, traditional intrusion detection technology can no longer protect the current network environment. [0003] For example, the BP neural network based on the Levenberg-Marquard algorithm proposed by YANG AIMIN and others can significantly improve the detection rate o...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/00G06N3/08H04L29/06
Inventor 王振东张林李大海杨书新王俊岭
Owner 江西省海博信息科技有限公司