Information flow monitoring and early warning system based on big data analysis

The information flow monitoring and early warning system, which utilizes big data analysis, addresses the shortcomings in feature extraction and early warning mechanisms in information flow monitoring. It enables multi-dimensional anomaly identification and tiered early warning, improving the accuracy and efficiency of information flow monitoring and ensuring the security of information transmission.

CN122395020APending Publication Date: 2026-07-14XINGHAN LINK TECHNOLOGY (BEIJING) CO LTD
View PDF 0 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
XINGHAN LINK TECHNOLOGY (BEIJING) CO LTD
Filing Date
2026-05-27
Publication Date
2026-07-14

AI Technical Summary

Technical Problem

Existing information flow monitoring technologies suffer from limited feature extraction dimensions and simplistic anomaly identification logic. They are unable to accurately identify hidden anomalies such as sudden increases or decreases in association frequency or sudden new creations. Furthermore, the early warning mechanism lacks differentiated design, leading to missed, misjudged, and inefficient anomaly identification.

Method used

An information flow monitoring and early warning system based on big data analysis is adopted, including a heterogeneous information source dynamic adaptation and acquisition module, an information redundancy noise reduction and analysis module, a flow feature time series mining module, a flow pair correlation analysis module, and a multi-dimensional flow anomaly identification module. Through the collaboration of multiple modules, non-intrusive acquisition and standardized processing of multi-source heterogeneous information flow data are achieved, static and dynamic characteristics of flow are mined, correlation and comprehensive anomaly are calculated, and hierarchical differentiated early warning strategies are formulated.

Benefits of technology

It enables multi-dimensional and accurate identification of information flow and hierarchical differentiated early warning, improves the comprehensiveness and accuracy of anomaly monitoring, enhances the pertinence of early warning and the efficiency of anomaly handling, and ensures the security of information transmission.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122395020A_ABST
    Figure CN122395020A_ABST
Patent Text Reader

Abstract

The application belongs to the technical field of information flow direction monitoring, and specifically relates to an information flow direction monitoring and early warning system based on big data analysis, which comprises a heterogeneous information source dynamic adaptation collection module, an information redundancy noise reduction analysis module, a flow direction feature time sequence mining module, a flow direction pair correlation degree analysis module, a multi-dimensional flow direction anomaly identification module and a hierarchical early warning strategy generation module; in the application, first, real-time collection data of various types of heterogeneous information sources is adapted, and after standardized, noise reduction and other treatments, flow direction time sequence features are mined, flow direction pair correlation degrees are calculated and anomalies are marked, then comprehensive anomaly degrees are calculated from time sequence trends, correlation modes and data volume dimensions, and are divided into grades, and reasonable and accurate differentiated early warning strategies for time window comprehensive anomalies and abnormal flow direction pairs can be formulated, so that the information flow direction monitoring accuracy and early warning disposal efficiency are significantly improved.
Need to check novelty before this filing date? Find Prior Art