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Tencent Meeting forensics based on memory reverse analysis.

Shilong Yu1, Binglong Li1, Lin Zhu1

  • 1School of Cryptographic Engineering, Information Engineering University, Zhengzhou, China.

Peerj. Computer Science
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Summary
This summary is machine-generated.

This study introduces a novel memory forensics method for Tencent Meeting, enabling extraction of crucial meeting data like participant lists and files. This digital forensics technique provides vital evidence for investigations where traditional disk analysis is insufficient.

Keywords:
Memory forensicsReverse analysisTencent Meeting

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Area of Science:

  • Digital Forensics
  • Computer Science

Background:

  • Tencent Meeting is a widely used instant meeting software.
  • Traditional disk forensics methods are ineffective for Tencent Meeting due to its real-time data handling.
  • Memory analysis is required for Tencent Meeting forensics.

Purpose of the Study:

  • To propose a method for Tencent Meeting forensics based on memory reverse analysis.
  • To extract meeting data transmitted during Tencent Meeting sessions.
  • To provide crucial digital evidence for digital crime investigation.

Main Methods:

  • Designed an inverse metadata extraction algorithm by analyzing Tencent Meeting's in-memory process storage and metadata format.
  • Developed a meeting data stream engraving algorithm by analyzing Tencent Meeting's in-memory data structure.
  • Conducted memory reverse analysis on the entire memory file.

Main Results:

  • Effectively extracted metadata including meeting time, number, and topic.
  • Extracted data flow information such as participants, message records, and transmitted files.
  • Demonstrated more comprehensive forensic data extraction compared to other methods.

Conclusions:

  • The proposed memory reverse analysis method is effective for Tencent Meeting forensics.
  • This method provides crucial digital evidence for digital crime investigation.
  • The approach allows for more comprehensive and abundant forensic data extraction from memory.