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Drone forensics: A case study on DJI phantom 4
Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA
  • Dua'a Abu Hamdi, Zayed University
  • Farkhund Iqbal, Zayed University
  • Saiqa Alam, Zayed University
  • Abdulla Kazim, Zayed University
  • Aine MacDermott, Liverpool John Moores University
Document Type
Conference Proceeding
Publication Date
11-1-2019
Abstract

© 2019 IEEE. Unmanned Aerial Vehicles (UAVs) (a.k.a drones) have grown in popularity mainly due to its' ease of use, wide variety of uses, availability and inexpensiveness nature of the devices. This rapid proliferation of UAVs has also augmented with several security issues and societal crimes pertaining to the illicit activities, making them rich sources of evidence. Therefore, it is crucial for digital forensics examiners to have the capability to recover, analyze, and authenticate the source of content stored on these devices. In this research, we perform a forensic investigation on an Unmanned Aircraft System, specifically the DJI Phantom 4 Vision, using several smartphone devices such as iPhone 6, iPhone 7 Plus, iPhone 10, Samsung Note 3, Samsung S7, Microsoft Lumia, CKTEL G5 Plus and G-Tide_s4 with different operating systems (iOS, Windows Phone and Android). In addition, we investigate and examine the logical backup acquisition of the iPhone 6, iPhone 7 Plus and iPhone 10 mobile devices using Apple iTunes backup utility. It was found that the DJI Phantom 4 App contains a significant amount of forensics data. Moreover, we acquired useful data from the SD card of mobile devices including controller and the drone.

ISBN

9781728150529

Publisher
IEEE Computer Society
Disciplines
Keywords
  • Digital Forensics,
  • DJI 4,
  • Drone,
  • Drone Forensics,
  • Forensics Investigations,
  • IoT,
  • UAV
Scopus ID

85082727375

Indexed in Scopus
Yes
Open Access
No
https://doi.org/10.1109/AICCSA47632.2019.9035302
Citation Information
Dua'a Abu Hamdi, Farkhund Iqbal, Saiqa Alam, Abdulla Kazim, et al.. "Drone forensics: A case study on DJI phantom 4" Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA Vol. 2019-November (2019) - 6 ISSN: <p><a href="https://v2.sherpa.ac.uk/id/publication/issn/2161-5322" target="_blank">2161-5322</a></p>
Available at: http://works.bepress.com/farkhund-iqbal/174/