TY - GEN
T1 - Investigating Drone Data Recovery beyond the Obvious Using Digital Forensics
AU - Nayak, Smit Chandrakant
AU - Samanthula, Bharath K.
AU - Tiwari, Vaibhavi
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The rapid advancement of drone technology has opened up new opportunities across a wide range of sectors, including agriculture, surveillance, and delivery services. Specifically, the accessibility and affordability of drones suggest a surge in their prevalence in the coming years. Nonetheless, this growth opened new doors for bad actors to use drones for nefarious activities; thereby, raising safety and security concerns attributed to the unmanned aerial vehicles (UAVs). In this paper, we focus on systematically investigating the data recovery mechanisms for confiscated drones. First, we discuss the potential security threats associated with the drones and different detection methods to spot drones. Then, we propose a structured data recovery framework to effectively retrieve crucial data from a malicious drone. In particular, we analyze the popular DJI Mini 2 SE drone and show how our proposed framework can facilitate forensic investigators to uncover crucial data beyond the drone's metadata. Our experiments show that investigators can effectively recover sensitive historical data that was even deleted from the drone's external secure digital (SD) card.
AB - The rapid advancement of drone technology has opened up new opportunities across a wide range of sectors, including agriculture, surveillance, and delivery services. Specifically, the accessibility and affordability of drones suggest a surge in their prevalence in the coming years. Nonetheless, this growth opened new doors for bad actors to use drones for nefarious activities; thereby, raising safety and security concerns attributed to the unmanned aerial vehicles (UAVs). In this paper, we focus on systematically investigating the data recovery mechanisms for confiscated drones. First, we discuss the potential security threats associated with the drones and different detection methods to spot drones. Then, we propose a structured data recovery framework to effectively retrieve crucial data from a malicious drone. In particular, we analyze the popular DJI Mini 2 SE drone and show how our proposed framework can facilitate forensic investigators to uncover crucial data beyond the drone's metadata. Our experiments show that investigators can effectively recover sensitive historical data that was even deleted from the drone's external secure digital (SD) card.
KW - Attacks
KW - Data Recovery
KW - Data Security
KW - Digital Forensics
KW - Drone
KW - SD cards
UR - http://www.scopus.com/inward/record.url?scp=85179759443&partnerID=8YFLogxK
U2 - 10.1109/UEMCON59035.2023.10315995
DO - 10.1109/UEMCON59035.2023.10315995
M3 - Conference contribution
AN - SCOPUS:85179759443
T3 - 2023 IEEE 14th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2023
SP - 254
EP - 260
BT - 2023 IEEE 14th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2023
A2 - Chakrabarti, Satyajit
A2 - Paul, Rajashree
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2023
Y2 - 12 October 2023 through 14 October 2023
ER -