Mission support for drones: a policy based approach
File(s)
Accepted version
Author(s)
Type
Conference Paper
Abstract
We examine the impact of increasing autonomy on the use of airborne drones in joint operations by collaborative parties. As the degree of automation employed increases towards the level implied by the term ‘autonomous’, it becomes apparent that existing control mechanisms are insufficiently flexible. Using an architecture introduced by Bertino et al. in [1] and Verma et al. in [2], we consider the use of dynamic policy modification as a means to adjust to rapidly evolving scenarios. We show mechanisms which allow this approach to improve the effectiveness of operations without compromise to security or safety.
Date Issued
2017-06-23
Date Acceptance
2017-04-19
Citation
2017, pp.7-12
ISBN
978-1-4503-4960-4
Publisher
ACM
Start Page
7
End Page
12
Copyright Statement
© 2017 Copyright is held by the owner/author(s). Publication rights licensed to
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was authored or co-authored by an employee, contractor or affiliate of the
United States government. As such, the United States Government retains a
nonexclusive, royalty-free right to publish or reproduce this article, or to allow
others to do so, for Government purposes only.
ACM. Publication rights licensed to ACM. ACM acknowledges that this contribution
was authored or co-authored by an employee, contractor or affiliate of the
United States government. As such, the United States Government retains a
nonexclusive, royalty-free right to publish or reproduce this article, or to allow
others to do so, for Government purposes only.
Source
International Workshop on Micro Aerial Vehicle Networks, Systems, and Applications (DRONET 17)
Publication Status
Published
Start Date
2017-06-23
Coverage Spatial
Niagara Falls, NY, USA