Proceedings ArticleDOI
Drone Forensics: A Detailed Analysis of Emerging DJI Models
Maryam Yousef,Farkhund Iqbal,Mohammed Hussain +2 more
- pp 066-071
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TLDR
Examining and analyzing the data extracted from four hobbyist drone models, while comparing the applicability and capability of several commercial and open-source forensics tools indicates that most of the new drone models are relatively difficult to analyze.Abstract:
The widespread use and fast-paced development of drones pose a challenge for law enforcement and other enterprises due to their increased use in digital crimes. To keep up with this development and to effectively extract information required for forensics investigations, examiners need in-depth knowledge of drones, forensics methods, and the capabilities of available tools. In this study, we examine and analyze the data extracted from four hobbyist drone models (DJI Mavic 2 Pro, DJI Mavic Air, DJI Spark, and DJI Phantom 4), while comparing the applicability and capability of several commercial and open-source forensics tools. Our findings indicate that most of the new drone models are relatively difficult to analyze due to the enhanced security of these models. It is imperative to develop novel forensics processes and specialized forensics tools to enhance the forensic analysis of drones.read more
Citations
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Review of Conflict Resolution Methods for Manned and Unmanned Aviation
TL;DR: A taxonomy that categorises algorithms in terms of their approach to avoidance planning, surveillance, control, trajectory propagation, predictability assumption, resolution manoeuvre, multi-actor conflict resolution, considered obstacle types, optimization, and method category is presented.
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ECU-IoFT: A Dataset for Analysing Cyber-Attacks on Internet of Flying Things
TL;DR: This paper showcases the development of the ECU-IoFT dataset, documenting three known cyber-attacks targeting Wi-Fi communications and the lack of security in an affordable off-the-shelf drone.
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Drone Forensics and Machine Learning: Sustaining the Investigation Process
TL;DR: This research work opens the door for academics and industry practitioners to adopt machine learning to enable the use of drone data in forensic investigations and concludes that properly trained machine-learning models hold promise to enable an accurate assessment of Drone data obtained from drones confiscated from a crime scene.
Posted Content
Who Watches the New Watchmen? The Challenges for Drone Digital Forensics Investigations.
TL;DR: In this article, a review of the current state-of-the-art in the field of digital forensics for drones is presented, highlighting that there are fundamental issues in terms of their forensics analysis from various perspectives, ranging from operational and procedural ones, and escalate to manufacturers.
Journal ArticleDOI
An investigation into Unmanned Aerial System (UAS) forensics: Data extraction & analysis
TL;DR: In this paper , a forensic analysis of small to medium sized commercial drone devices and their controllers has been proposed to give investigators a plan of action to perform forensic analysis on these devices.
References
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Journal ArticleDOI
Unmanned aerial vehicles
TL;DR: Results showed the ability to recover flight data from both the unmanned aerial vehicle and controller handsets along with captured media, however problems exist with establishing the definitive owner of the device, particularly if a user had abandoned it at the scene of a crime.
Journal ArticleDOI
DROP (DRone Open source Parser) Your Drone: Forensic Analysis of the DJI Phantom III
TL;DR: Results showed that the best mechanism to forensically acquire data from the tested drone is to manually extract the SD card by disassembling the drone, and illustrated that the drone should not be turned on as turning it on changes data on the drone by creating a new DAT file, but may also delete stored data if the drone's internal storage is full.
iPhone 3GS Forensics: Logical analysis using Apple iTunes Backup Utility
Mona Bader,Ibrahim Baggili +1 more
TL;DR: This research aimed at investigating and examining the logical backup acquisition of the iPhone 3GS mobile device using the Apple iTunes backup utility and found that significant data of forensic value can be retrieved using this method of iPhone acquisition.
Journal ArticleDOI
A comprehensive micro unmanned aerial vehicle (UAV/Drone) forensic framework
TL;DR: A comprehensive drone forensic framework that includes hardware/physical and digital forensics, proficient enough for the post-flight investigation of drone's activity is devised, intended to offer the forensic science community a powerful approach for investigating drone-related crimes effectively.
Proceedings ArticleDOI
Drone Forensics: Challenges and New Insights
TL;DR: New insights into drone forensics are presented in terms of accessing the digital containers of an intercepted drone and retrieving all the information that can help digital forensic investigators establish ownership, recover flight data and acquire content of media files.