TY - GEN
T1 - Integration of Forensic Artifacts from Android-based Drone Controllers into Android Logs Events and Protobuf Parser
AU - Ramadan, Muhammad Rias
AU - Studiawan, Hudan
AU - Shiddiqi, Ary Mazharuddin
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - The rapid development of drone technology has revolutionized various sectors, including mapping, agriculture, tourism, and even warfare. However, on the other hand, this expansion has also facilitated the misuse of Unmanned Aerial Vehicles (UAVs) for illegal activities that threaten public safety and national security. Digital forensic investigations face significant challenges when drones are damaged or destroyed. This research addresses this critical gap by focusing on the forensic analysis of Android mobile controllers used in DJI drones, which dominate the commercial market. We developed a new opensource parser integrated into the Android Logs Events and Protobuf Parser (ALEAPP) platform. This parser is designed to decode and extract flight data from.DAT and.TXT log files. Our comprehensive analysis covers various DJI drone models (Mavic 2, Mavic 2 Enterprise, Mavic Air, Mavic Pro, Phantom 3, Phantom 4, and Phantom 4 Pro), which provide results in the form of flight timestamps and GPS coordinates. This contributes to forensic investigations involving UAV technology.
AB - The rapid development of drone technology has revolutionized various sectors, including mapping, agriculture, tourism, and even warfare. However, on the other hand, this expansion has also facilitated the misuse of Unmanned Aerial Vehicles (UAVs) for illegal activities that threaten public safety and national security. Digital forensic investigations face significant challenges when drones are damaged or destroyed. This research addresses this critical gap by focusing on the forensic analysis of Android mobile controllers used in DJI drones, which dominate the commercial market. We developed a new opensource parser integrated into the Android Logs Events and Protobuf Parser (ALEAPP) platform. This parser is designed to decode and extract flight data from.DAT and.TXT log files. Our comprehensive analysis covers various DJI drone models (Mavic 2, Mavic 2 Enterprise, Mavic Air, Mavic Pro, Phantom 3, Phantom 4, and Phantom 4 Pro), which provide results in the form of flight timestamps and GPS coordinates. This contributes to forensic investigations involving UAV technology.
KW - ALEAPP
KW - Drone Forensics
KW - Flight Log Analysis
KW - Result Show
KW - UAV
UR - https://www.scopus.com/pages/publications/105044484872
U2 - 10.1109/ASIANComNet68615.2025.11579723
DO - 10.1109/ASIANComNet68615.2025.11579723
M3 - Conference contribution
AN - SCOPUS:105044484872
T3 - 2025 Asian Conference on Communication and Networks, ASIANComNet 2025
BT - 2025 Asian Conference on Communication and Networks, ASIANComNet 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2025 Asian Conference on Communication and Networks, ASIANComNet 2025
Y2 - 29 December 2025 through 31 December 2025
ER -