Unmanned aerial vehicles (UAVs), also known as drones, provides unique functionalities, which allows area surveillance, inspection, surveying, unarmed cargo, armed attack machines, and aerial photography. Drones are susceptible to GPS spoofing attacks, integrity attacks and de-authentication attacks, which can allow criminals to access data, intercept the drone and use it commit a crime. Thus, this paper is presented to report on potential attacks against the Parrot Bebop 2 drone, and the ability for an investigator to collect evidence about the attacks on the drone. This paper aims at examining the possibility of establishing ownership and collecting data to reconstruct events, linking the drone controller with the drone to prove ownership, flight origins and other potentially useful information necessary to identify the proprietor of a crime. In addition, we have also proposed small-scale drone ontology for modelling drone context data, and simple forensic processing framework for small-scale drones.
|Number of pages||20|
|Journal||International Journal of Electronic Security and Digital Forensics|
|Publication status||Published - 10 Apr 2019|
Bibliographical notePublisher Copyright:
Copyright © 2019 Inderscience Enterprises Ltd.
- Context data
- Digital forensics
- Drone attack
- Drone ontology
- Drone security