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DRAT: A Drone Attack Tool for Vulnerability Assessment

Published:16 March 2020Publication History

ABSTRACT

Drones are usually associated with the military but in recent times, they are also used for public and commercial interests such as transporting of goods, communications, agriculture, disaster mitigation and environment preservation. However, like any system, drones have vulnerabilities that can be exploited which can jeopardise a drone's operation and may lead to loss of lives, property and money. Thus drones deployed must be carefully evaluated and selected. Pen-testing is a way to assess the vulnerabilities of drones but it may require multiple commands, files or scripts. In this work, we propose a tool to allow easy pen-testing and assessment of drones. Vulnerability assessment of the DJI Mavic 2 Pro is discussed extensively as well. Future work includes addressing the vulnerabilities of other drones and expanding the tool to conduct pen-testing on other drones.

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References

  1. 2019. Drones to Survey Dengue Hotspots. https://www.smartnation.sg/what-issmart- nation/initiatives/Urban-Living/drones-to-survey-dengue-hotspots-1Google ScholarGoogle Scholar
  2. Siobhan Gorman, Yochi J Dreazen, and August Cole. 2009. Insurgents hack US drones. Wall Street Journal 17 (2009).Google ScholarGoogle Scholar
  3. Osqzss. 2018. osqzss/gps-sdr-sim. https://github.com/osqzss/gps-sdr-simGoogle ScholarGoogle Scholar
  4. Michael Ossmann. 2019. mossmann/hackrf. https://github.com/mossmann/ hackrf/wikiGoogle ScholarGoogle Scholar
  5. Johann-Sebastian Pleban, Ricardo Band, and Reiner Creutzburg. 2014. Hacking and securing the AR.. In Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications 2014, Vol. 9030. International Society for Optics and Photonics, 90300L.Google ScholarGoogle Scholar
  6. Mohit Sagar. 2019. Drones are a part of Singapore's Smart Nation strategy. https://www.opengovasia.com/drones-are-a-part-of-singapores-smartnation- strategy/Google ScholarGoogle Scholar
  7. Daniel P Shepard, Jahshan A Bhatti, and Todd E Humphreys. 2012. Drone hack: Spoofing attack demonstration on a civilian unmanned aerial vehicle. (2012).Google ScholarGoogle Scholar
  8. Hocheol Shin, Kibum Choi, Youngseok Park, Jaeyeong Choi, and Yongdae Kim. 2016. Security Analysis of FHSS-type Drone Controller, Vol. 9503. 240--253. https: //doi.org/10.1007/978--3--319--31875--2_20Google ScholarGoogle Scholar
  9. Mika Ståhlberg. 2000. Radio jamming attacks against two popular mobile networks. In In: Helsinki University of Technology Seminar on Network Security. (2000.Google ScholarGoogle Scholar

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  1. DRAT: A Drone Attack Tool for Vulnerability Assessment

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      • Published in

        cover image ACM Conferences
        CODASPY '20: Proceedings of the Tenth ACM Conference on Data and Application Security and Privacy
        March 2020
        392 pages
        ISBN:9781450371070
        DOI:10.1145/3374664

        Copyright © 2020 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 16 March 2020

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