A method for standardizing extraction of data of a mobile phone involved in a case

By classifying and monitoring mobile phone data statically and dynamically in real time, a data association topology is constructed, which solves the efficiency and compliance issues of mobile terminal data processing and generates a standardized dataset that is easy to analyze.

CN122173557APending Publication Date: 2026-06-09FUZHOU PUBLIC SECURITY BUREAU
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
FUZHOU PUBLIC SECURITY BUREAU
Filing Date
2026-02-24
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

Existing technologies are insufficient to effectively process unstructured or semi-structured data from mobile terminals, cannot deeply mine dynamic behavior patterns, and lack standardized monitoring of the evidence collection process, posing compliance risks.

Method used

By dividing mobile phone data into static and dynamic sets, a standard feature vector library and behavioral pattern association network are constructed to generate a data association topology structure, and the evidence collection process is monitored in real time to ensure compliance.

Benefits of technology

It enables accurate classification and in-depth analysis of mobile phone data, improves data processing efficiency and accuracy, reduces the risk of evidence invalidation, and generates a well-structured standardized dataset that is easy for automated and manual interpretation.

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Abstract

This application relates to a standardized extraction method for mobile phone data involved in a case, belonging to the field of data forensics technology. The method includes: acquiring multi-source data streams from the mobile phone involved in the case; dividing the data into static and dynamic data sets based on the data update frequency and structural stability; constructing a standard feature vector library based on the static data set to provide a consistency benchmark for the data; constructing a behavioral pattern association network based on the dynamic data set to represent the complex relationships between data using a graph structure; generating a dynamic data extraction graph based on this network, and integrating the standard feature vector library and the dynamic data extraction graph to generate a unified data association topology; and finally outputting a standardized data extraction set based on this topology. This invention significantly improves the effectiveness, relevance, and controllability of forensic data by providing in-depth, standardized, and automated extraction and association analysis of mobile phone data involved in cases.
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