A secure group communication architecture for autonomous unmanned aerial vehicles
This paper investigates the application of a secure group communication architecture to a swarm of autonomous unmanned aerial vehicles (UAVs). A multicast secure group communication architecture for the low earth orbit (LEO) satellite environment is evaluated to determine if it can be effectively ad...
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Published in: | Security and communication networks Vol. 2; no. 1; pp. 55 - 69 |
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Main Authors: | , , , |
Format: | Journal Article |
Language: | English |
Published: |
Chichester, UK
John Wiley & Sons, Ltd
01-01-2009
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Subjects: | |
Online Access: | Get full text |
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Summary: | This paper investigates the application of a secure group communication architecture to a swarm of autonomous unmanned aerial vehicles (UAVs). A multicast secure group communication architecture for the low earth orbit (LEO) satellite environment is evaluated to determine if it can be effectively adapted to a swarm of UAVs and provide secure, scalable, and efficient communications. The performance of the proposed security architecture is evaluated with two other commonly used architectures using a discrete event computer simulation developed using MATLAB. Performance is evaluated in terms of the scalability and efficiency of the group key distribution and management scheme when the swarm size, swarm mobility, multicast group join and departure rates are varied. The metrics include the total keys distributed over the simulation period, the average number of times an individual UAV must rekey, the average bandwidth used to rekey the swarm, and the average percentage of battery consumed by a UAV to rekey over the simulation period. The proposed security architecture can successfully be applied to a swarm of autonomous UAVs using current technology. The proposed architecture is more efficient and scalable than the other tested and commonly used architectures. Over all the tested configurations, the proposed architecture distributes 55.2–94.8% fewer keys, rekeys 59.0–94.9% less often per UAV, uses 55.2–87.9% less bandwidth to rekey, and reduces the battery consumption by 16.9–85.4%. Published in 2008 by John Wiley & Sons, Ltd. |
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Bibliography: | ark:/67375/WNG-HDSQZFLG-Q ArticleID:SEC55 istex:D455744B220248FFF544855D4DB56F46F55207C0 This article is a U.S. Government work and is in the public domain in the USA. ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
ISSN: | 1939-0114 1939-0122 1939-0114 |
DOI: | 10.1002/sec.55 |