Skip navigation
  • Home
  • Browse
    • Communities
      & Collections
    • Browse Items by:
    • Publication Date
    • Author
    • Title
    • Subject
    • Department
  • Sign on to:
    • My MacSphere
    • Receive email
      updates
    • Edit Profile


McMaster University Home Page
  1. MacSphere
  2. Departments and Schools
  3. Faculty of Engineering
  4. Department of Mechanical Engineering
  5. Mechanical Engineering Publications
Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/31246
Full metadata record
DC FieldValueLanguage
dc.contributor.authorWilkerson S-
dc.contributor.authorKorpela C-
dc.contributor.authorChang K-
dc.contributor.authorLee A-
dc.contributor.authorGadsden A-
dc.date.accessioned2025-02-27T20:23:48Z-
dc.date.available2025-02-27T20:23:48Z-
dc.date.issued2016-06-01-
dc.identifier.urihttp://hdl.handle.net/11375/31246-
dc.description.abstractDespite being unmatched on the battlefield or at home, low-cost, asymmetric threats have proven dangerous for U.S. military forces and homeland security. The proliferation of improvised explosive devices of all types in the Iraqi and Afghan theaters has demonstrated that inexpensive, commercial off-the-shelf technology and some electronics knowledge can be combined to significantly impact high-tech operations. Autonomous GPS-guided and semi-autonomous unmanned aerial vehicles will change the paradigm in their employment in the very near future. While a single attack might be insignificant, a swarm of robotic devices could prove a credible threat. In this paper we discuss the impact and limitations of commercially off-the-shelf drones and what measures might be used to counter these devices. We back up our findings with flight tests and observations on systems commonly used for research but also easily available to adversaries and bad actors. Finally, we present some speculation on the potential implementation of swarms using these vehicles as a continuation to the discussion.-
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)-
dc.subject46 Information and Computing Sciences-
dc.subject4602 Artificial Intelligence-
dc.titleAerial Swarms as Asymmetric Threats-
dc.typeArticle-
dc.date.updated2025-02-27T20:23:47Z-
dc.contributor.departmentMechanical Engineering-
dc.identifier.doihttps://doi.org/10.1109/icuas.2016.7502615-
Appears in Collections:Mechanical Engineering Publications

Files in This Item:
File Description SizeFormat 
059-gadsden_conf_059.pdf
Open Access
Published version1.1 MBAdobe PDFView/Open
Show simple item record Statistics


Items in MacSphere are protected by copyright, with all rights reserved, unless otherwise indicated.

Sherman Centre for Digital Scholarship     McMaster University Libraries
©2022 McMaster University, 1280 Main Street West, Hamilton, Ontario L8S 4L8 | 905-525-9140 | Contact Us | Terms of Use & Privacy Policy | Feedback

Report Accessibility Issue