Research Challenges and Opportunities in Drone Forensics Models
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TLDR
The outcome of this study generated in-depth knowledge of the research challenges and opportunities through which an effective investigation can be carried out on drone-related incidents, and a potential generic investigation model has been proposed.Abstract:
The emergence of unmanned aerial vehicles (also referred to as drones) has transformed the digital landscape of surveillance and supply chain logistics, especially in terrains where such was previously deemed unattainable. Moreover, the adoption of drones has further led to the proliferation of diverse drone types and drone-related criminality, which has introduced a myriad of security and forensics-related concerns. As a step towards understanding the state-of-the-art research into these challenges and potential approaches to mitigation, this study provides a detailed review of existing digital forensic models using the Design Science Research method. The outcome of this study generated in-depth knowledge of the research challenges and opportunities through which an effective investigation can be carried out on drone-related incidents. Furthermore, a potential generic investigation model has been proposed. The findings presented in this study are essentially relevant to forensic researchers and practitioners towards a guided methodology for drone-related event investigation. Ultimately, it is important to mention that this study presents a background for the development of international standardization for drone forensics.read more
Citations
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Journal ArticleDOI
Distinguishing Drones from Birds in a UAV Searching Laser Scanner Based on Echo Depolarization Measurement
TL;DR: In this paper, an approach for small (<5 kg) drones detection technique based on a laser scanning and a method to discriminate UAVs from birds is presented. But the proposed method does not always guarantee 100 percent discrimination efficiency, but provides certain confidence level distribution.
Journal ArticleDOI
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.
Journal ArticleDOI
A Novel Forensic Readiness Framework Applicable to the Drone Forensics Field
TL;DR: A novel forensic readiness framework called Drone Forensics Readiness Framework (DRFRF) is proposed using the design science method and the results showed the novelty and efficiency of DRFRF and its applicability to the situations before and after drone incidents.
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.
Proceedings ArticleDOI
Named Entity Recognition for Drone Forensic Using BERT and DistilBERT
TL;DR: This paper investigates the potential of NER (Named Entity Recognition) as an initial step to perform information extraction from drone flight logs data and uses Transformers-based techniques to perform NER and assist the forensic investigation.
References
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TL;DR: In this article, the authors propose a vision, named Dragnet, tailoring the recently emerging Cognitive Internet of Things framework for amateur drone surveillance, and provide an exemplary case study on the detection and classification of authorized and unauthorized amateur drones, where an important event is being held and only authorized drones are allowed to fly over.
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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.
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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.