Cargando…

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

Drones, also known as unmanned aerial vehicles (UAVs) and sometimes referred to as ‘Mobile IoT’ or ‘Flying IoT’, are widely adopted worldwide, with their market share continuously increasing. While drones are generally harnessed for a wide range of positive applications, recent instances of drones b...

Descripción completa

Detalles Bibliográficos
Autores principales: Lee, Sungwon, Seo, Hyeongmin, Kim, Dohyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647491/
https://www.ncbi.nlm.nih.gov/pubmed/37960630
http://dx.doi.org/10.3390/s23218934
_version_ 1785135119550382080
author Lee, Sungwon
Seo, Hyeongmin
Kim, Dohyun
author_facet Lee, Sungwon
Seo, Hyeongmin
Kim, Dohyun
author_sort Lee, Sungwon
collection PubMed
description Drones, also known as unmanned aerial vehicles (UAVs) and sometimes referred to as ‘Mobile IoT’ or ‘Flying IoT’, are widely adopted worldwide, with their market share continuously increasing. While drones are generally harnessed for a wide range of positive applications, recent instances of drones being employed as lethal weapons in conflicts between countries like Russia, Ukraine, Israel, Palestine, and Hamas have demonstrated the potential consequences of their misuse. Such misuse poses a significant threat to cybersecurity and human lives, thereby highlighting the need for research to swiftly and accurately analyze drone-related crimes, identify the responsible pilot, and establish when and what illegal actions were carried out. In contrast to existing research, involving limited data collection and analysis of the drone, our study focused on collecting and rigorously analyzing data without restrictions from the remote controller used to operate the drone. This comprehensive approach allowed us to unveil essential details, including the pilot’s account information, the specific drone used, pairing timestamps, the pilot’s operational location, the drone’s flight path, and the content captured during flights. We developed methodologies and proposed artifacts to reveal these specifics, which were supported by real-world data. Significantly, this study is the pioneering digital forensic investigation of remote controller devices. We meticulously collected and analyzed all internal data, and we even employed reverse engineering to decrypt critical information files. These achievements hold substantial significance. The outcomes of this research are expected to serve as a digital forensic methodology for drone systems, thereby making valuable contributions to numerous investigations.
format Online
Article
Text
id pubmed-10647491
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-106474912023-11-02 Digital Forensic Research for Analyzing Drone Pilot: Focusing on DJI Remote Controller Lee, Sungwon Seo, Hyeongmin Kim, Dohyun Sensors (Basel) Article Drones, also known as unmanned aerial vehicles (UAVs) and sometimes referred to as ‘Mobile IoT’ or ‘Flying IoT’, are widely adopted worldwide, with their market share continuously increasing. While drones are generally harnessed for a wide range of positive applications, recent instances of drones being employed as lethal weapons in conflicts between countries like Russia, Ukraine, Israel, Palestine, and Hamas have demonstrated the potential consequences of their misuse. Such misuse poses a significant threat to cybersecurity and human lives, thereby highlighting the need for research to swiftly and accurately analyze drone-related crimes, identify the responsible pilot, and establish when and what illegal actions were carried out. In contrast to existing research, involving limited data collection and analysis of the drone, our study focused on collecting and rigorously analyzing data without restrictions from the remote controller used to operate the drone. This comprehensive approach allowed us to unveil essential details, including the pilot’s account information, the specific drone used, pairing timestamps, the pilot’s operational location, the drone’s flight path, and the content captured during flights. We developed methodologies and proposed artifacts to reveal these specifics, which were supported by real-world data. Significantly, this study is the pioneering digital forensic investigation of remote controller devices. We meticulously collected and analyzed all internal data, and we even employed reverse engineering to decrypt critical information files. These achievements hold substantial significance. The outcomes of this research are expected to serve as a digital forensic methodology for drone systems, thereby making valuable contributions to numerous investigations. MDPI 2023-11-02 /pmc/articles/PMC10647491/ /pubmed/37960630 http://dx.doi.org/10.3390/s23218934 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lee, Sungwon
Seo, Hyeongmin
Kim, Dohyun
Digital Forensic Research for Analyzing Drone Pilot: Focusing on DJI Remote Controller
title Digital Forensic Research for Analyzing Drone Pilot: Focusing on DJI Remote Controller
title_full Digital Forensic Research for Analyzing Drone Pilot: Focusing on DJI Remote Controller
title_fullStr Digital Forensic Research for Analyzing Drone Pilot: Focusing on DJI Remote Controller
title_full_unstemmed Digital Forensic Research for Analyzing Drone Pilot: Focusing on DJI Remote Controller
title_short Digital Forensic Research for Analyzing Drone Pilot: Focusing on DJI Remote Controller
title_sort digital forensic research for analyzing drone pilot: focusing on dji remote controller
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647491/
https://www.ncbi.nlm.nih.gov/pubmed/37960630
http://dx.doi.org/10.3390/s23218934
work_keys_str_mv AT leesungwon digitalforensicresearchforanalyzingdronepilotfocusingondjiremotecontroller
AT seohyeongmin digitalforensicresearchforanalyzingdronepilotfocusingondjiremotecontroller
AT kimdohyun digitalforensicresearchforanalyzingdronepilotfocusingondjiremotecontroller