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Big data processing framework-based application of neural network algorithm in IDS

A neural network algorithm and big data processing technology, applied in the direction of biological neural network model, neural architecture, platform integrity maintenance, etc., can solve the problem that the processing speed and ability of intrusion detection technology are difficult to be competent, and the update and upgrade speed of security protection means cannot keep up. The problem of non-linear growth of data volume, etc., achieves the effect of powerful distributed data processing and parallel computing capabilities, improving detection accuracy, and reducing false positive rate and false negative rate.

Pending Publication Date: 2018-05-25
蓝盾信息安全技术有限公司
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Problems solved by technology

With the concentration of massive data and the development of information technology, the update and upgrade speed of traditional intrusion detection technology and security protection methods has been unable to keep up with the non-linear growth of data volume, and is facing the challenge of continuous renovation of hacker attack methods and system upgrades
All in all, in the face of large-scale data volume growth, traditional intrusion detection technologies are difficult to handle in terms of processing speed and capacity.

Method used

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  • Big data processing framework-based application of neural network algorithm in IDS
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  • Big data processing framework-based application of neural network algorithm in IDS

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Embodiment Construction

[0016] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0017] combine figure 2 As shown, the neural network must be trained before the actual work, which is a learning process for the neural network, that is, given a learning sample library and the goal to be achieved by network training as the input of the neural network module, and then using the BP algorithm to The samples in the training sample library are processed until the required training target is achieved. After training, the relevant knowledge used to ide...

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Abstract

The invention discloses a big data processing framework-based application of a neural network algorithm in IDS, and designs a big data technology processing framework-based application of a BP neuralnetwork classifier model in an invasion detection system. Besides a big data technology processing framework, the model furthermore applies a Kolmogorov theorem and a training function trainbfg quasi-Newton algorithm-based BP neural network algorithm.

Description

technical field [0001] The present invention relates to the application field of big data, and specifically relates to the application of a neural network algorithm based on a big data processing framework in IDS. Background technique [0002] IDS can be divided into network intrusion detection system, host intrusion detection system and distributed intrusion detection system according to different detection environments. The data of the network-based intrusion detection system comes from the information flow in the network, while the host-based intrusion detection system comes from the audit log of the system. Generally, it can only detect the logs found on a single host, while the distributed intrusion detection system is mainly Combining the host intrusion detection system and the network intrusion detection system, so that the system can detect heterogeneous and multi-point environments, is the development direction of the current intrusion detection system. [0003] Bi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F21/55G06N3/04
CPCG06F21/55G06N3/045
Inventor 杨育斌陈梅莲柯宗贵
Owner 蓝盾信息安全技术有限公司
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