Supercharge Your Innovation With Domain-Expert AI Agents!

Data flow detection system based on block chain

A detection system and data flow technology, applied in the field of network security, can solve problems such as low efficiency and long data flow detection time, and achieve the effects of improving detection efficiency, increasing diversity, and improving storage capacity

Active Publication Date: 2021-04-06
中软数智信息技术(武汉)有限公司
View PDF9 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to improve the detection efficiency of data streams. Aiming at the shortcomings of the current data stream detection time is too long, the efficiency is too low, and only for a single type of data stream detection, a blockchain-based data stream is proposed. Detection Systems

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
  • Data flow detection system based on block chain
  • Data flow detection system based on block chain
  • Data flow detection system based on block chain

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0027] In the first embodiment, the system includes a data collection module, a preprocessing module, an analysis clustering module, and an encryption analysis module; wherein the data collection module is connected to the preprocessing module, and the preprocessing module is connected to the The data connection of the analysis clustering module, the data connection of the analysis clustering module and the encryption analysis module; the data connection between the data collection module and the real-time network data stream interface, and the data collection module receives data from the real-time network stream interface, and pass the data stream into the preprocessing module; the preprocessing module receives the data stream mined from the data collection module, and transmits the data stream after preprocessing Carry out cluster analysis in the analysis clustering module;

[0028] The data preprocessing module is used to preprocess the data in the data stream, and the pre...

Embodiment 2

[0049] Embodiment 2: This embodiment should be understood as at least including all the features of any one of the foregoing embodiments, and further improvement on the basis thereof, specifically,

[0050] The system includes a data collection module, a preprocessing module, an analysis clustering module and an encrypted analysis module; wherein the data collection module is connected to the data of the preprocessing module, and the data connection of the preprocessing module is connected to the analysis and clustering module , the analysis and clustering module is connected to the data of the encrypted analysis module; the data collection module is connected to the real-time network data flow interface, and the data collection module receives the data flow from the real-time network data flow interface, and Passing the data stream into the preprocessing module; the preprocessing module receives the data stream mined from the data acquisition module, preprocesses the data stre...

Embodiment 3

[0087] Embodiment 3: This embodiment should be understood as at least including all the features of any one of the foregoing embodiments, and further improved on the basis of it, a data flow detection system based on blockchain; it is characterized in that the system Including a data acquisition module, a preprocessing module, an analysis clustering module and an encrypted analysis module; wherein the data acquisition module is connected to the data of the preprocessing module, the data of the preprocessing module is connected to the analysis and clustering module, and the analysis and clustering The class module is data-connected with the encryption analysis module; the data collection module is connected with the real-time network data flow interface, and the data collection module receives the data flow from the real-time network data flow interface, and transmits the data into the preprocessing module; the preprocessing module receives the data stream mined from the data ac...

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 provides a data stream detection system based on a block chain, which is characterized in that real-time network data streams are screened based on a block chain technology, so that the data detection efficiency is improved, and non-single data streams are detected; the system comprises a data acquisition module, a preprocessing module, an analysis clustering module and an encryption analysis module, the data acquisition module is in data connection with the preprocessing module, the preprocessing module is in data connection with the analysis clustering module, and the analysis clustering module is in data connection with the encryption analysis module.

Description

[0001] The invention relates to the technical field of network security, in particular to a method and system for detecting real-time data flow of a gateway. Background technique [0002] The development of the Internet promotes data security issues, so it is necessary to establish a data detection system that adapts to large-scale data, takes data as the focus of detection, compares detection of abnormal behavior to finding abnormal data from data, and combines detection technology with data mining technology. Combined with effectively reducing the detection false alarm rate and improving detection efficiency. [0003] For example, CN105591836A discloses a data flow detection method and device in the prior art. The invention filters the rules finally matched by the data flow, but can only detect one type of data flow. Another typical prior art such as CN109542772A discloses a method of anomaly detection based on data flow analysis. The present invention is aimed at the new ty...

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
IPC IPC(8): H04L29/06G06F16/27G06F21/62
CPCH04L63/1425G06F16/27G06F21/6218
Inventor 马樱
Owner 中软数智信息技术(武汉)有限公司
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More