Performance Evaluation for Tracking a Malicious UAV using an Autonomous UAV Swarm

Arnold, Christopher and Brown, Jason (2020) Performance Evaluation for Tracking a Malicious UAV using an Autonomous UAV Swarm. In: 11th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON 2020), 28-31 Oct 2020, New York City, United States.


Abstract

Recent instances of malicious Unmanned Aerial Vehicles (UAVs) causing service disruption or damage to critical infrastructure has prompted research into methods of mitigating and deterring such nefarious activities. One such countermeasure is to use a swarm of UAVs to track the malicious UAV back to its origin. In this paper, we evaluate different methods of swarm formation for the purposes of malicious UAV tracking via a bespoke OMNeT++ simulation. The simulation also evaluates the effect of the number of UAVs in the swarm, as well as the evasiveness of the malicious UAV in terms of its flight capabilities and flight path. The results demonstrate that encirclement type swarm formations such as Surround and Cone, in which the malicious UAV is surrounded by the swarm, perform better than a follow type swarm formation in their ability to continue to track the malicious UAV.


Statistics for USQ ePrint 40426
Statistics for this ePrint Item
Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering (1 Jul 2013 -)
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering (1 Jul 2013 -)
Date Deposited: 07 Jan 2021 05:15
Last Modified: 11 Feb 2021 05:56
Uncontrolled Keywords: Swarm, UAV, autonomous, tracking, OMNeT++
Fields of Research (2008): 08 Information and Computing Sciences > 0805 Distributed Computing > 080503 Networking and Communications
09 Engineering > 0913 Mechanical Engineering > 091303 Autonomous Vehicles
08 Information and Computing Sciences > 0805 Distributed Computing > 080502 Mobile Technologies
09 Engineering > 0913 Mechanical Engineering > 091302 Automation and Control Engineering
08 Information and Computing Sciences > 0805 Distributed Computing > 080504 Ubiquitous Computing
Fields of Research (2020): 46 INFORMATION AND COMPUTING SCIENCES > 4606 Distributed computing and systems software > 460609 Networking and communications
40 ENGINEERING > 4007 Control engineering, mechatronics and robotics > 400702 Automation engineering
46 INFORMATION AND COMPUTING SCIENCES > 4606 Distributed computing and systems software > 460608 Mobile computing
40 ENGINEERING > 4007 Control engineering, mechatronics and robotics > 400703 Autonomous vehicle systems
Socio-Economic Objectives (2008): B Economic Development > 89 Information and Communication Services > 8901 Communication Networks and Services > 890103 Mobile Data Networks and Services
A Defence > 81 Defence > 8101 Defence > 810104 Emerging Defence Technologies
Socio-Economic Objectives (2020): 14 DEFENCE > 1401 Defence > 140104 Emerging defence technologies
22 INFORMATION AND COMMUNICATION SERVICES > 2201 Communication technologies, systems and services > 220103 Mobile technologies and communications
14 DEFENCE > 1401 Defence > 140105 Intelligence, surveillance and space
Identification Number or DOI: https://doi.org/10.1109/UEMCON51285.2020.9298062
URI: http://eprints.usq.edu.au/id/eprint/40426

Actions (login required)

View Item Archive Repository Staff Only