Evaluating Small Drone Surveillance Capabilities to Enhance Traffic Conformance Intelligence
| aut.researcher | Cusack, Brian | |
| dc.contributor.author | Cusack, B | en_NZ |
| dc.contributor.author | Khaleghparast, R | en_NZ |
| dc.date.accessioned | 2018-10-08T00:01:46Z | |
| dc.date.available | 2018-10-08T00:01:46Z | |
| dc.date.copyright | 2015-12-14 | en_NZ |
| dc.date.issued | 2015-12-14 | en_NZ |
| dc.description.abstract | The availability of cheap small physical drones that fly around and have a variety of visual and sensor networks attached invites investigation for work applications. In this research we assess the capability of a set of commercially available drones (VTOL) that cost less than $1000 (Cheap is a relative term and we consider anything less than $5000 relatively cheap). The assessment reviews the capability to provide secure and safe motor vehicle surveillance for conformance intelligence. The evaluation was conducted by initially estimating a set of requirements that would satisfy an ideal surveillance situation and then by comparing a sample of drone specifications. The search is for identifying a drone that is fit for purpose. The conclusion is that more than $1000 needs to be spent on the drone and the resources for effective observation but less than $3000 in total is sufficient for the work application. The result and the analysis of traditional surveillance networks suggests that such drones can provide a low entry risk for additional benefits; and intelligence to those responsible for compliance on our roads. | |
| dc.identifier.citation | In the Proceedings of [the] 13th Australian Information Security Management Conference, held from the 30 November – 2 December, 2015 (pp. 94-100), Edith Cowan University Joondalup Campus, Perth, Western Australia, pp. 21-27. | en_NZ |
| dc.identifier.doi | 10.4225/75/57a8380ed2cf5 | |
| dc.identifier.uri | https://hdl.handle.net/10292/11863 | |
| dc.publisher | Security Research Institute, Edith Cowan University | |
| dc.relation.uri | https://ro.ecu.edu.au/asi/40/ | |
| dc.rights | NOTICE: this is the author’s version of a work that was accepted for publication. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in (see Citation). The original publication is available at (see Publisher's Version). | |
| dc.rights.accessrights | OpenAccess | en_NZ |
| dc.title | Evaluating Small Drone Surveillance Capabilities to Enhance Traffic Conformance Intelligence | en_NZ |
| dc.type | Conference Contribution | |
| pubs.elements-id | 194027 | |
| pubs.organisational-data | /AUT | |
| pubs.organisational-data | /AUT/Design & Creative Technologies |