Unlock instant, AI-driven research and patent intelligence for your innovation.

Network intrusion detection method and system based on fuzzy implicit conditional random field model

A hidden conditional random field, network intrusion detection technology, applied in transmission systems, digital transmission systems, data exchange networks, etc., can solve the problem of long-distance correlation of observation sequence uncertainty, and achieve the effect of good intrusion detection effect.

Inactive Publication Date: 2017-10-31
CHONGQING UNIV
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method aims at the characteristics of network attacks and the problems existing in existing network intrusion detection methods. In order to make accurate detection of network intrusion behaviors, it can solve the observation sequence uncertainty and long-distance correlation caused by inaccurate and fuzzy information. problems, and to improve the detection rate and training speed when the training data set is small, to ensure a better effect of network intrusion detection

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Network intrusion detection method and system based on fuzzy implicit conditional random field model
  • Network intrusion detection method and system based on fuzzy implicit conditional random field model
  • Network intrusion detection method and system based on fuzzy implicit conditional random field model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0071] This embodiment provides a network intrusion detection method based on a fuzzy implicit conditional random field model, including the following steps:

[0072] Step 1: Use network data collection tools to collect network instances, and randomly select normal network instances and abnormal network instances as training data sets for the fuzzy latent conditional random field model;

[0073] Step 2: Preprocessing the collected network instances;

[0074] Step 3: Perform feature selection on the preprocessed network instance;

[0075] Step 4: The fuzzy implicit conditional random field model uses the selected features to train and generate a detection model;

[0076] Step 5: Use the detection model generated in step 4 to detect the network instance in actual operation;

[0077] Step 6: Perform corresponding processing on the network intrusion detection, block the network instance when it is detected as an abnormal network instance; allow the network instance to run when i...

Embodiment 2

[0111] like figure 1 Shown: the intrusion detection system based on fuzzy implicit conditional random field of the present invention includes a network instance collection module, an instance preprocessing module, a feature selection module, a detection model generation module, an instance detection module and a result processing module.

[0112] The training data set module is used to collect network instances using network data collection tools, and randomly select normal network instances and abnormal network instances as the training data sets of the fuzzy implicit conditional random field model;

[0113] The preprocessing module is used to preprocess the collected network instances;

[0114] The feature selection module is used to perform feature selection on the preprocessed network instance;

[0115] The detection model generating module is used for the fuzzy implicit conditional random field model to generate a detection model using selected feature training;

[0116] ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a network intrusion detection method based on a fuzzy implicit conditional random field model, and solves the technical problem of improving the effect of the existing network intrusion detection. The invention utilizes network data collection tools to collect network instances, and randomly selects normal network instances and abnormal network instances as training data sets for the fuzzy implicit conditional random field model, and the instances are independent of each other. Using the training data set to establish a fuzzy implicit conditional random field model for network intrusion detection, input the actual running network instance into the established detection model, output the corresponding intrusion detection effect, and detect the network instance in real time and accurately. The invention can accurately and quickly detect unknown network intrusion behaviors, and has good prospects for practical popularization and application.

Description

technical field [0001] The invention relates to a network intrusion detection method, in particular to a network intrusion detection method and system based on a random field model with fuzzy implicit conditions. Background technique [0002] In the early days of Internet construction, the network structure and attack methods were relatively simple, and the network security system was mainly based on protection, relying on firewalls, encryption, identity authentication and other means to achieve. With the rapid development of Internet technology and the gradual wide application, hacker attack methods are becoming more and more complex and diverse. Static security defense technologies such as traditional operating system reinforcement and simple firewall policies are far from meeting the needs of modern high-security networks. Therefore, it is imperative to design an effective intrusion detection method based on the three-dimensional depth and multi-layer defense of network s...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): H04L29/06H04L12/26
Inventor 罗钧李义军高增辉
Owner CHONGQING UNIV