Forensics Case studies – Extraction of deleted and live data from DJI Agras MG 1s Drone Through Chip-off, Internal SD Card and Controller Chip-off Extraction.

  • Unique Paper ID: 172020
  • Volume: 11
  • Issue: 8
  • PageNo: 1628-1636
  • Abstract:
  • The increasing prevalence of drones, or Unmanned Aerial Vehicles (UAVs), has raised significant concerns regarding their potential for misuse in criminal activities. This research explores the forensic analysis of drones, focusing on the extraction and correlation of data from various sources, including the drone’s internal storage, SD card and controllers, to establish links between the drone and illicit activity. Using advanced forensic tools such as FTK Imager, Cellebrite Inseyets PA, DatCon, and CsvView, we investigate methods for retrieving crucial data such as GPS coordinates, flight logs, user interactions, media files, and system logs from the drone and associated devices. Our methodology includes imaging data from the drone's microSD card, reconstructing flight paths, and analysing performance metrics like battery voltage to estimate speed and assess drone activity during different flight stages. The findings reveal how digital traces left by drones and their controllers can offer valuable forensic insights in criminal investigations. This study highlights the increasing relevance of drone forensics in law enforcement, providing a comprehensive framework for digital evidence analysis that can assist in the identification and prosecution of individuals involved in illegal drone activities.

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