A file aggregation identification method and system

By combining file extension matching and binary header feature verification with deep image type identification and intelligent parsing of backup files, the vulnerability and operational complexity of traditional forensic tools are solved, enabling automated and accurate identification and parsing of smartphone data and adapting to the rapid processing of multi-format data.

CN122173447APending Publication Date: 2026-06-09XIAMEN MEIYABAIKE INFORMATION SECURITY RES INST CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
XIAMEN MEIYABAIKE INFORMATION SECURITY RES INST CO LTD
Filing Date
2026-01-22
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

Traditional forensic tools have weak identification mechanisms for smartphone data, rely on file extensions which are easily tampered with, have high operational barriers, cannot automatically distinguish data sources, and have weak parsing capabilities for non-standard files, resulting in insufficient automation and reliability.

Method used

It employs a dual mechanism of file extension matching and binary header feature verification, combined with deep image type identification and intelligent parsing of backup files, and resolves conflicts through dynamic weight analysis, to achieve automatic and accurate identification and parsing of multi-format data.

Benefits of technology

It improves recognition accuracy, reduces reliance on human experience, enhances automation and parsing accuracy in complex scenarios, and adapts to the rapid processing of mobile data from multiple sources.

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Abstract

The application provides a file aggregation identification method and system, and belongs to the technical field of electronic data forensics, and aims to solve the problems of traditional forensics tools relying on file extensions, complicated operation, mixed system analysis confusion and weak non-standard file analysis capability. The core of the method is a four-stage linkage analysis engine: through double checking of file suffix and binary header characteristics, initial screening of file type is realized; through detecting file system identification and verifying system specific path / configuration file, deep identification of image type is realized; through analyzing special metadata structure and storage format, intelligent analysis of backup files is realized; through entropy weighting algorithm, dynamic weight analysis and conflict arbitration are realized. The corresponding system includes four function modules. The application can automatically identify smartphone images, backups and non-standard data files, reduce the misjudgment rate, improve the analysis efficiency by 3.8 times, has strong anti-interference ability, high automation degree and excellent compatibility, and is suitable for complex electronic data forensics scenes.
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