dc.contributor.author | Martínez-Rodríguez, Belén | |
dc.contributor.author | Bilbao-Arechabala, Sonia | |
dc.contributor.author | Jorge-Hernandez, Fernando | |
dc.date.accessioned | 2021-06-14T10:13:16Z | |
dc.date.available | 2021-06-14T10:13:16Z | |
dc.date.issued | 2021-05-11 | |
dc.identifier.citation | Martínez-Rodríguez, Belén, Sonia Bilbao-Arechabala, and Fernando Jorge-Hernandez. “Security Architecture for Swarms of Autonomous Vehicles in Smart Farming.” Applied Sciences 11, no. 10 (May 11, 2021): 4341. doi:10.3390/app11104341. | en |
dc.identifier.uri | http://hdl.handle.net/11556/1147 | |
dc.description.abstract | Nowadays, autonomous vehicles are incorporated into farms to facilitate manual labour.
Being connected vehicles, as IoT systems, they are susceptible to cyber security attacks that try to
cause damage to hardware, software or even living beings. Therefore, it is important to provide
sufficient security mechanisms to protect both the communications and the data, mitigating any
possible risk or harm to farmers, livestock or crops. Technology providers are aware of the importance
of ensuring security, and more and more secure solutions can be found on the market today. However,
generally, these particular solutions are not sufficient when they are part of complex hybrid systems,
since there is no single global solution proposal. In addition, as the number of technologies and
protocols used increases, the number of security threats also increases. This article presents a cybersecurity
architecture proposal for swarms of heterogeneous vehicles in smart farming, which covers
all of the aspects recommended by the ISO 7798-2 specification in terms of security. As a result of
this analysis, a detailed summary of the possible solutions and available technologies for each of the
communication channels of the target system as well as some recommendations are presented. | en |
dc.description.sponsorship | This research was partially funded by the ECSEL JU (H2020–EU.2.1.1.7.–ECSEL RIA) and the Spanish Ministry of Economic Affairs and Digital Transformation, grant number 783221— AFarCloud: Aggregate Farming in the Cloud. | en |
dc.language.iso | eng | en |
dc.publisher | Multidisciplinary Digital Publishing Institute (MDPI) | en |
dc.rights | Attribution 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.title | Security Architecture for Swarms of Autonomous Vehicles in Smart Farming | en |
dc.type | article | en |
dc.identifier.doi | 10.3390/app11104341 | en |
dc.rights.accessRights | openAccess | en |
dc.subject.keywords | Security | en |
dc.subject.keywords | Autonomous vehicles | en |
dc.subject.keywords | smart farming | en |
dc.identifier.essn | 2076-3417 | en |
dc.issue.number | 10 | en |
dc.journal.title | Applied Sciences | en |
dc.page.initial | 4341 | en |
dc.volume.number | 11 | en |