Drone Forensics: A Case Study on DJI Phantom 4

Hamdi, Dua'a Abu; Iqbal, Farkhund; Alam, Saiqa; Kazim, Abdulla S.; MacDermott, Áine

doi:10.1109/aiccsa47632.2019.9035302

Cited by 16 publications

(7 citation statements)

References 4 publications

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“…But it was confirmed from the analysis of time data and artifacts that the GPS data of the drone and the mobile device are related with each other [10]. Hamdi et al (2019) detected the user's e-mail address in the DJI GO app and the sources of files by analyzing flight data from DJI Phantom 4 and various mobile devices connected thereto [11]. Yousef and F. Iqbal established a scenario of seizing DJI Mavic Air and conducted experiments of acquiring and analyzing various artifacts [12].…”

Section: Related Researchmentioning

confidence: 99%

Digital Forensic Methodology for Detection of Abnormal Flight of Drones

Moon

Jin

Kwon

et al. 2021

JISCR

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When a drone accident has occurred, it is difficult to decide whether it is due to a crime, malfunction, mistake, or external force. Although the cause of the accident is elucidated through analysis of artifacts or flight data, there are many limitations. In this study, we present a method for detecting an abnormal flight using the motor current values and controller direction values of a drone. The experimental result revealed that, in the case of a normal flight, the current values of four motors were similar in hovering state and the current value of rear motors were increased when the drone was flying forwards. In the case of an abnormal flight, when the drone moved rightwards due to external force in hovering state, the current values of the two motors on the right side were increased greatly. After a period of time following the movement to the right side, the current values of all the motors converged to 0. In the future, motor current values and controller direction values may be used to determine whether an abnormal flight in a drone accident has occurred because of external force by wind, birds, persons, or the like.

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Section: Related Researchmentioning

confidence: 99%

Digital Forensic Methodology for Detection of Abnormal Flight of Drones

Moon

Jin

Kwon

et al. 2021

JISCR

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“…In addition to investigating and analyzing drone data, the data from relevant devices also need to be analyzed. Farkhund Iqbal et al [20] used a variety of smartphone devices, to conduct the forensic analysis of unmanned aerial systems in different operating systems. In addition, the author utilized various DJI tools and software to perform logical backups of the specified mobile phone models.…”

Section: Related Workmentioning

confidence: 99%

Digital Forensic Research for Analyzing Drone and Mobile Device: Focusing on DJI Mavic 2 Pro

Zhao,

Wang,

Liao

2024

Drones

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With the frequent occurrence of drone-related criminal cases, drone forensics has become a hot spot of concern. During drone-related criminal investigations, the implicated drones are often forcibly brought down, which poses significant challenges in conducting forensic analysis. In order to restore the truth of criminal cases, it is necessary to extract data not only from the external TF card but also from internal chip memory in drone forensics. To address this issue, a drone data parser (DRDP) is proposed to extract internal and external data from criminal-implicated drones. In this paper, we present comprehensive forensics on the DJI Mavic 2 Pro, analyzing the main file structure and encryption model. According to its file structures, three case studies are conducted on various file types (DAT files, TXT files, and default files) to verify the effectiveness and applicability of the designed procedure. The results show that the encrypted data of the implicated drone, such as GPS information, flight time, flight altitude, flight distance, three velocity components (x, y, z) and other information can be extracted and decrypted correctly, which provides evidence for the identification of the case facts.

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“…Digital forensic evidence identification, collection, preservation, correlation, and analysis of satellite IoT devices including UAVs will be very challenging considering the devices will be designed to work autonomously, in real‐time and in non‐terrestrial altitudes and underwater locations. Forensic analysis on a variety of UAVs including drones has been conducted in an attempt to extract, analyze, and process forensic artifacts (Al‐Room et al, 2021; Hamdi et al, 2019; R. Kumar & Agrawal, 2021; Thornton & Bagheri Zadeh, 2022). The common theme in these studies is that in most cases, investigators require recovery of the physical devices and access to the OEM (Original Equipment Manufacturer) including flight logs and location data that can be found in the integrated memory of the drones.…”

Section: Forensics Challenges In 6g Iot Environmentsmentioning

confidence: 99%

Section: Forensic Challenges Of Satellite Iot and Uavsmentioning

confidence: 99%

Digital forensics challenges and readiness for 6G Internet of Things (IoT) networks

Akinbi

2023

WIREs Forensic Science

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The development of sixth‐generation (6G) wireless communication technology is expected to provide super high‐speed data transmission, and advanced network performance than the current fifth‐generation (5G) and be fully functional by the 2030s. This development will have a significant impact and add improvements to digital extended reality (XR), autonomous systems, vehicular ad hoc networks (VANETs), artificial intelligence (AI), underwater communications, blockchain technology, pervasive biomedical informatics and smart cities built on the digital infrastructure backbone of the Internet of Things (IoT). The ubiquitous nature of this large‐scale 6G‐enabled IoT that offers faster connectivity capabilities and integrates both terrestrial and non‐terrestrial networks will not only create new data security and privacy issues but also provide a treasure trove of digital evidence useful for digital forensic examiners investigating security incidents and cybercrime. However, for digital forensic examiners, evidence collection, preservation and analysis will become a priority in the successful deployment of 6G IoT networks. In this study, we define key applications of 6G network technology to the Internet of Things and its existing architectures. The survey introduces potential digital forensic challenges and related issues affecting digital forensic investigations specific to 6G IoT networks. Finally, we highlight and discuss forensic readiness and future research directions for identified challenges within the 6G IoT network environments.This article is categorized under: Digital and Multimedia Science > IoT Forensics

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Drone Forensics: A Case Study on DJI Phantom 4

Cited by 16 publications

References 4 publications

Digital Forensic Methodology for Detection of Abnormal Flight of Drones

Digital Forensic Methodology for Detection of Abnormal Flight of Drones

Digital Forensic Research for Analyzing Drone and Mobile Device: Focusing on DJI Mavic 2 Pro

Digital forensics challenges and readiness for 6G Internet of Things (IoT) networks

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