Electronic Feature Correlation System and Correlation Method Based on Time Domain Analysis

Abstract

The invention provides an electronic feature correlation system based on time domain analysis, which includes an analysis time generation module, a data query module, a data packaging module, a data analysis module and a key value storage and statistics module. The analysis time generation module generates an analysis time range. The data query module acquires electronic feature data and real-name identity data within the analysis time range respectively. The data packing module packs the two kinds of data into a data collection. The data analysis module determines the corresponding time window range to collect electronic characteristic data according to the collection time of the real-name identity data in each data set and the preset time window size, so as to realize that the real-name identity data corresponds to multiple electronic characteristic data. The key-value storage statistical module counts the association times of the real-name identity data and the electronic feature data. The system reduces the workload of the computer and improves the accuracy of the corresponding relationship between the mobile phone device and the holder's real-name identity. The invention also provides an electronic feature association method.

Description

Technical field [0001] The present invention relates to the field of communications, and in particular to an electronic feature association system and an association method based on time domain analysis. Background technique [0002] At present, electronic feature information is important information used to identify the uniqueness of electronic devices. For example, the International Mobile Subscriber Identification Number (IMSI) of mobile phone devices is often collected for applications in communication networking, technical investigation, and other fields. . Since the issuance of the Subscriber Identity Module (SIM) of the mobile phone device does not record the real name or the real name registration is not standardized, the registrant of the mobile phone device is often not the same person as the owner or user of the mobile phone device. Therefore, use The IMSI information of a mobile phone device is difficult to accurately find the identity of the holder or user. [0003] ...

AI Technical Summary

Problems solved by technology

However, the collection time of the real-name identity does not completely overlap with the capture time of the IMSI information of the mobile phone device, so the IMSI number selected in the narrowed time window may just miss the IMSI number of the target mobile phone device

Therefore, using the collection time of personnel real-name identity information and IMSI information to analyze the corresponding relationship between personnel identity information and electronic feature information, the workload of manual and computer is relatively large, and it is difficult to ensure the accuracy of the corresponding relationship between personnel real-name identity information and IMSI information

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