Research Article

Unmanned Aerial Vehicle Digital Forensic Investigation Framework

Volume: 14 Number: 1 April 30, 2018
EN

Unmanned Aerial Vehicle Digital Forensic Investigation Framework

Abstract

The Unmanned Aerial Vehicle (UAV) technology is a rapidly emerging technology and it has found widespread usage. While UAVs are still in their development phase without any existing commonly accepted standards for their underlying technologies and their forensic investigation, they have an increasing record of criminal usage. This urges the research community to develop techniques to detect and prevent illegal usage of UAVs. With this work, we present a seven-phase UAV digital forensics investigation framework to standardize the investigation process for UAVs. We tested our framework on the DJI Phantom III Professional UAV which is one of the most popular commercial UAVs in the market. We found three kinds of forensic artifacts on the sample UAV and these artifacts examined deeply. Two of the artifacts are log files stored as binary files and the other artifact is the EXIF header of the images that are captured by UAV's onboard camera. The log files of the UAV has a proprietary data structure. By reverse engineering this data structure, we able to derive the flight paths for all the flights taken by the investigated UAV.

Keywords

References

  1. Association of Chief Police Officers (ACPO) (n.d.) The Principles of Digital Evidence. Retrieved from http://www.computerforensicsspecialists.co.uk/blog/the-principles-of-digital-evidence (Access Date: 29.04.2018). (Internet Sources).
  2. Bart, J. (2015). Small Drone Crashes Near White House Despite Ban Against Flights in D.C. Retrieved from https://www.usatoday.com/story/news/2015/10/09/drone-crash-white-house-ellipse-us-park-police-federal-aviation-administration/73641812/ (Access Date: 29.04.2018). (Internet Sources).
  3. Bellamy, W. (2017). US Now Has 60,000 Part 107 Drone Pilots. Retrieved from http://www.aviationtoday.com/2017/09/07/us-now-60000-part-107-drone-pilots/ (Access Date: 16.04.2018). (Internet Sources).
  4. Bristeau, P. J., Callou, F., Vissiere, D., & Petit, N. (2011). The navigation and control technology inside the ar. drone micro uav. IFAC Proceedings Volumes, 44(1), 1477-1484.
  5. Clarke, R. (2014). Understanding the drone epidemic. Computer Law & Security Review, 30(3), 230-246.
  6. Clark, D., Meffert, C., Baggili, I., & Breitinger, F. (2017). DROP (DRone Open source Parser) your drone: Forensic analysis of the DJI Phantom III. Digital Investigation, 22S3-S14. doi:10.1016/j.diin.2017.06.013.
  7. Cracknell, A. P. (2017). UAVs: regulations and law enforcement. International Journal Of Remote Sensing, 38(8-10), 3054-3067.
  8. Divya, J. (2017). Here Are The World's Largest Drone Companies And Manufacturers To Watch And Invest In. Retrieved from http://www.businessinsider.com/top-drone-manufacturers-companies-invest-stocks-2017-07 (Access Date: 29.04.2018). (Internet Sources).

Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Publication Date

April 30, 2018

Submission Date

May 4, 2018

Acceptance Date

July 3, 2018

Published in Issue

Year 2018 Volume: 14 Number: 1

APA
Gülataş, İ., & Baktır, S. (2018). Unmanned Aerial Vehicle Digital Forensic Investigation Framework. Journal of Naval Sciences and Engineering, 14(1), 32-53. https://izlik.org/JA52HU49YJ
AMA
1.Gülataş İ, Baktır S. Unmanned Aerial Vehicle Digital Forensic Investigation Framework. JNSE. 2018;14(1):32-53. https://izlik.org/JA52HU49YJ
Chicago
Gülataş, İbrahim, and Selçuk Baktır. 2018. “Unmanned Aerial Vehicle Digital Forensic Investigation Framework”. Journal of Naval Sciences and Engineering 14 (1): 32-53. https://izlik.org/JA52HU49YJ.
EndNote
Gülataş İ, Baktır S (April 1, 2018) Unmanned Aerial Vehicle Digital Forensic Investigation Framework. Journal of Naval Sciences and Engineering 14 1 32–53.
IEEE
[1]İ. Gülataş and S. Baktır, “Unmanned Aerial Vehicle Digital Forensic Investigation Framework”, JNSE, vol. 14, no. 1, pp. 32–53, Apr. 2018, [Online]. Available: https://izlik.org/JA52HU49YJ
ISNAD
Gülataş, İbrahim - Baktır, Selçuk. “Unmanned Aerial Vehicle Digital Forensic Investigation Framework”. Journal of Naval Sciences and Engineering 14/1 (April 1, 2018): 32-53. https://izlik.org/JA52HU49YJ.
JAMA
1.Gülataş İ, Baktır S. Unmanned Aerial Vehicle Digital Forensic Investigation Framework. JNSE. 2018;14:32–53.
MLA
Gülataş, İbrahim, and Selçuk Baktır. “Unmanned Aerial Vehicle Digital Forensic Investigation Framework”. Journal of Naval Sciences and Engineering, vol. 14, no. 1, Apr. 2018, pp. 32-53, https://izlik.org/JA52HU49YJ.
Vancouver
1.İbrahim Gülataş, Selçuk Baktır. Unmanned Aerial Vehicle Digital Forensic Investigation Framework. JNSE [Internet]. 2018 Apr. 1;14(1):32-53. Available from: https://izlik.org/JA52HU49YJ