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Digital Forensic Research for Analyzing Drone Pilot: Focusing on DJI Remote Controller.

Sungwon Lee1, Hyeongmin Seo2, Dohyun Kim3

  • 1Department of Computer Engineering, Catholic University of Pusan, Busan 46252, Republic of Korea.

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Summary

This study pioneers digital forensics for drone remote controllers, enabling detailed analysis of flight data and pilot information to combat misuse. Our methods help identify drone-related crimes and responsible parties for improved cybersecurity and safety.

Keywords:
DJI RCUAV forensicsdronedrone forensicsremote controller

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Area of Science:

  • Digital Forensics
  • Cybersecurity
  • Aviation Technology

Background:

  • Drones (unmanned aerial vehicles/UAVs) are increasingly used for various applications but also pose security risks when misused as weapons.
  • Misuse of drones necessitates rapid analysis to identify perpetrators and illegal activities.
  • Existing research often has limitations in data collection from drone systems.

Purpose of the Study:

  • To develop a comprehensive digital forensic methodology for drone remote controllers.
  • To enable accurate analysis of drone-related crimes and identification of responsible pilots.
  • To contribute to cybersecurity and human safety by addressing drone misuse.

Main Methods:

  • Focused on collecting and analyzing data from drone remote controllers, unlike previous studies.
  • Developed new methodologies and artifacts for data extraction and analysis.
  • Employed reverse engineering to decrypt critical information files from remote controllers.

Main Results:

  • Successfully unveiled pilot account information, drone specifics, timestamps, operational locations, and flight paths.
  • Recovered content captured during drone flights.
  • Demonstrated the feasibility of digital forensic investigations on remote controller devices using real-world data.

Conclusions:

  • This research establishes a pioneering digital forensic methodology for drone remote controllers.
  • The proposed methods and artifacts are crucial for investigating drone-related crimes.
  • Findings significantly contribute to drone system security and digital forensic investigations.