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We are meeting on Microsoft Teams: Forensic analysis in Windows, Android, and iOS operating systems
Herschel Bowling1, Kathryn Seigfried-Spellar1, Umit Karabiyik1
1Computer and Information Technology, Purdue University, West Lafayette, Indiana, USA.
Digital forensic investigators can recover most Microsoft Teams data using manual methods on Windows, Android, and iOS. Automated forensic tools recover significantly less data from this popular communication platform.
Area of Science:
- Digital Forensics
- Computer Science
- Cybersecurity
Background:
- Microsoft Teams, a communication platform, saw increased usage due to COVID-19.
- Its growing user base necessitates understanding its forensic data on various operating systems.
- Limited research exists on mobile forensic data for Microsoft Teams.
Purpose of the Study:
- To analyze data stored at rest by Microsoft Teams across Windows, Android, and iOS.
- To identify and recover forensic artifacts from Microsoft Teams functionalities.
- To compare manual investigation results with automated forensic tool capabilities.
Main Methods:
- Performed basic Microsoft Teams functionalities (messaging, file sharing, video calls) in a controlled environment.
- Utilized Cellebrite UFED Physical Analyzer for mobile devices (Android, iOS).
- Employed Magnet AXIOM Examine for the Windows 10 operating system.
- Conducted both manual and automated forensic analysis.
Main Results:
- Manual investigation recovered a significant majority (77.6%) of artifacts, partially or fully.
- Automated forensic tools showed limited success, recovering only 13.8% of artifacts across all tested operating systems.
- A substantial difference was observed between manual and automated artifact recovery rates.
Conclusions:
- Manual forensic investigation is crucial for recovering Microsoft Teams artifacts across different platforms.
- Current automated tools are insufficient for comprehensive Microsoft Teams data extraction.
- Findings provide valuable insights for digital forensic investigators dealing with Microsoft Teams cases.
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