research-article

Drone forensic framework: Sensor and data identification and verification

Authors:

Eric T. MatsonAuthors Info & Claims

2017 IEEE Sensors Applications Symposium (SAS)

Pages 1 - 6

https://doi.org/10.1109/SAS.2017.7894059

Published: 13 March 2017 Publication History

Abstract

Ease of availability and affordability of unmanned aerial vehicles (UAV) have led to an increase in its popularity amongst the public. The proliferation of UAVs has also augmented several security issues. These devices are used for illegal activities such as drug smuggling and privacy invasion. The purpose of this research paper is to analyze the basic architecture of a drone, and to propose a generic drone forensic model that would improve the digital investigation process. This paper also provides recommendations on how one should perform forensics on the various components of a drone such as camera and Wi-Fi.

References

[1]

M. Wojciech. (2016, May 9). World drone market seen nearing $127 billion in 2020, PwC says [Online]. Available: https://www.bloomberg.com.

[2]

K. David, “UAV (aka drone) forensics”, in Sys Admin, Audit, Network and Security Department for International Development Summit., Austin., TX, 2016.

[3]

“Eyes of the army U.S. army roadmap for unmanned aircraft systems 2010-2035” U.S. Army., Fort Rucker., AL, 2010.

[4]

(2016, August 19). Unmanned aircraft systems [Online]. Available: https://www.faa.gov/uas/getting_started/.

[5]

S. Pilli Emmanuel et al., “A generic framework for network forensics”, IJCA, vol. 1, no. 11, 2001.

[6]

B. Nicole and C. Jan, “A hierarchial, objectives-based framework for the digital investigations process”, in Digital Forensic Research Conference, Baltimore, MD, 2004.

[7]

C. Barrier and S. Eugene, “An event-based digital forensic investigation framework”, in Digital Forensic research Conference, Baltimore, MD, 2004.

[8]

M. Rob. (2014, Sept. 11). Making drones more customizable [Online]. Available: http://news.mit.edu/2014/customizable-drones-0911.

[9]

S. Chad, “Expanding the potential for GPS evidence acquisiton”. in Small Scale Digital Forensics Journal, vol. 3, June 2009.

[10]

H. Gar. (2016, Apr. 5). MicroSD cards well-suited for drones [Online]. Available: http://www.eetimes.com/.

[11]

L. Phuoc, R. Roni & Z. Evan, “Securing embedded systems for autonomous aerial vehicles”, Worcester Polytechnic Inst., Worcester, MA, Project AWl-12ES, Nov. 2013.

[12]

(2016, July 13). Automated flight control [Online]. Available: https://www.faa.gov/regulations_policies/handbooks_manuals.

[13]

Basic principles of inertial navigation [Online]. Avalibale: http://aerostudents.com/.

[14]

H. Achi, A. Hellany, & M. Nagrial, “Digital forensics of wireless systems and devices technical and legal challenges”, IEEE, pp. 43–46, Dec. 2009.

[15]

A. John, J. D. Deborah, & V.H. Sarah, “Forensic examination of digital evidence: a guide for law enforcement”, NIJ, Washington DC, NCJ-199408.

[16]

Syma X5C 2.4G 6 axis gyro HD camera RC quadcopter with 2.0MP aamera [Online]. Available: https://www.amazoncom/Syma-2-4G-Camera-Quadcopter-2-0MP/dp/B00MNG37C2.

[17]

Quadcopter. [Online]. Available: https://en.oxforddictionaries.com/definition/quadcopter.

[18]

X5C gyroscope 2.4G explorers 4CH 2.4G remote control quadcopter [Online]. Available: http://syma107.com/download89/syma-x5c-user-manual.pdf.

[19]

Syma X5C 2.4G 4CH RC Quadcopter with HD Camera. [Online]. Available: http://syma107.com/syma-x5c-explorers-2-4g-4ch-rc-quadcopter-mode-2-with-hd-camera/.

[20]

G. Mike. (2015, Feb., 26). Ultimate Guide to Syma X5C Explorers Quadcopter [Online]. Available.

[21]

Parrot AR. Drone 2.0 Elite Edition Quadcopter_Sand [Online]. Available: https://www.amazon.com/Parrot-AR-Drone-2-0-Elite-Quadcopter/dp/B00FS7SSd6.

[22]

Parrot AR Drone 2.0 user guide [Online]. Available: http://www.pdf-manuals.com/pdf/parrot-ar-drone-2-0-quadcopter-elite-edition-jungle-pf721802-300813-user-manual.pdf.

[23]

(2015). IRIS+ operation manual [Online]. Available: https://3dr.com/wp-content/uploads/2015/02/IRIS-Plus-Operation-Manual-vH-web.pdf.

[24]

3DR IRIS+ (915) Quadcopter [Online]. Available: https://www.amazon.com/3DRobotics-3DROI71-3DR-IRIS-Quadcopter/dp/B00NWXY076.

[25]

DJI phantom [Online]. Available: http://www.dji.com/phantom-2.

[26]

DJI phantom 2 [Online]. Available: http://myfirstdrone.com/contact-2/.

[27]

M690L multicopter. [Online]. Available: http://www.align.com.tw/multicopter-en/m6901/.

[28]

C. B. Evan. Unmanned aerial vehicles: examining the safety, privacy and regulatory issues of integration into U.S. airspace [Online]. Available: http://www.ncpa.org/pdfs/sp-Drones-long-paper.pdf.

Cited By

Feng SYe YShi QCheng ZXu XCheng SChoi HZhang XFilkov VRay BZhou M(2024)ROCAS: Root Cause Analysis of Autonomous Driving Accidents via Cyber-Physical Co-mutationProceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering10.1145/3691620.3695530(1620-1632)Online publication date: 27-Oct-2024
https://dl.acm.org/doi/10.1145/3691620.3695530
Lee CKim DKim GLee SKim TShu YLiu JTan RHe YChen J(2024)LTA: Control-Driven UAV Testing and Bug Localization with Flight Record DecompositionProceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems10.1145/3666025.3699350(450-463)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3666025.3699350
Sciancalepore SIbrahim OOligeri GDi Pietro R(2020)PiNcHComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2019.107044168:COnline publication date: 26-Feb-2020
https://dl.acm.org/doi/10.1016/j.comnet.2019.107044

Index Terms

Drone forensic framework: Sensor and data identification and verification
1. Security and privacy
2. Social and professional topics
  1. Computing / technology policy
    1. Computer crime

Index terms have been assigned to the content through auto-classification.

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cover image Guide Proceedings

2017 IEEE Sensors Applications Symposium (SAS)

Mar 2017

469 pages

Copyright © 2017.

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IEEE Press

Publication History

Published: 13 March 2017

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Cited By

Feng SYe YShi QCheng ZXu XCheng SChoi HZhang XFilkov VRay BZhou M(2024)ROCAS: Root Cause Analysis of Autonomous Driving Accidents via Cyber-Physical Co-mutationProceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering10.1145/3691620.3695530(1620-1632)Online publication date: 27-Oct-2024
https://dl.acm.org/doi/10.1145/3691620.3695530
Lee CKim DKim GLee SKim TShu YLiu JTan RHe YChen J(2024)LTA: Control-Driven UAV Testing and Bug Localization with Flight Record DecompositionProceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems10.1145/3666025.3699350(450-463)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3666025.3699350
Sciancalepore SIbrahim OOligeri GDi Pietro R(2020)PiNcHComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2019.107044168:COnline publication date: 26-Feb-2020
https://dl.acm.org/doi/10.1016/j.comnet.2019.107044

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