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A method and a system for testing intranet user behaviors based on a genetic neural network

A genetic neural network, neural network technology, applied in the field of testing intranet user behavior based on genetic neural network, can solve problems such as difficult implementation, low efficiency, lack of self-learning ability, etc.

Inactive Publication Date: 2019-05-24
AEROSPACE INFORMATION
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the need to manually update the rule base based on mathematical statistics and rule matching, the lack of self-learning ability leads to low efficiency; data mining needs to be combined with sequence methods and association rules to automatically update the required rule base to achieve abnormal detection It is difficult to realize the discrimination efficiency of the ability

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  • A method and a system for testing intranet user behaviors based on a genetic neural network
  • A method and a system for testing intranet user behaviors based on a genetic neural network
  • A method and a system for testing intranet user behaviors based on a genetic neural network

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Embodiment Construction

[0140] Exemplary embodiments of the present invention will now be described with reference to the drawings; however, the present invention may be embodied in many different forms and are not limited to the embodiments described herein, which are provided for the purpose of exhaustively and completely disclosing the present invention. invention and fully convey the scope of the invention to those skilled in the art. The terms used in the exemplary embodiments shown in the drawings do not limit the present invention. In the figures, the same units / elements are given the same reference numerals.

[0141] Unless otherwise specified, the terms (including scientific and technical terms) used herein have the commonly understood meanings to those skilled in the art. In addition, it can be understood that terms defined by commonly used dictionaries should be understood to have consistent meanings in the context of their related fields, and should not be understood as idealized or over...

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Abstract

The invention provides a method and a system for testing intranet user behaviors based on a genetic neural network. The method is based on collected data of actual intranet user behaviors. The globalsearch capability of the genetic algorithm and the local accurate search capability of the backward neural network are combined. The data of the user behavior is trained, so that the genetic neural network can convert the user data into the corresponding numerical value after learning the user behavior mode, real-time user behavior analysis is carried out, and the speed of checking the intranet user behavior is greatly improved.

Description

technical field [0001] The present invention relates to the field of computer network security, and more specifically, relates to a method and system for checking behaviors of intranet users based on a genetic neural network. Background technique [0002] In the existing technology, the defense concept of information security is concentrated at the gateway level such as firewall and some network boundaries, including system vulnerability scanning, intrusion detection system, security audit system, etc., and the main security monitoring facilities are set at the network entrance. At present, these technologies are relatively mature, and can largely prevent intrusion and threats from external insecure factors. According to the research of relevant authoritative organizations, the unsafe incidents from outside the network account for only 20%, while the unsafe incidents originating from the internal network account for 80%. It can be seen that the insecurity factors of the int...

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Application Information

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IPC IPC(8): G06F21/50G06N3/08G06N3/12
Inventor 孟媛媛王申
Owner AEROSPACE INFORMATION
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