Martínez-Rodríguez, BelénBilbao-Arechabala, SoniaJorge-Hernandez, Fernando2021-05-11Martínez-Rodríguez , B , Bilbao-Arechabala , S & Jorge-Hernandez , F 2021 , ' Security architecture for swarms of autonomous vehicles in smart farming ' , Applied Sciences (Switzerland) , vol. 11 , no. 10 , 4341 . https://doi.org/10.3390/app11104341 , https://doi.org/10.3390/app111043412076-3417researchoutputwizard: 11556/1147researchoutputwizard: 11556/1136Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.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 cyber-security 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.535828777403enginfo:eu-repo/semantics/openAccessjournal article10.3390/app11104341Autonomous vehiclesSecuritySmart farmingGeneral Materials ScienceInstrumentationGeneral EngineeringProcess Chemistry and TechnologyComputer Science ApplicationsFluid Flow and Transfer ProcessesSDG 7 - Affordable and Clean EnergySDG 9 - Industry, Innovation, and InfrastructureSDG 12 - Responsible Consumption and ProductionFunding InfoThis 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.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.http://www.scopus.com/inward/record.url?scp=85106649899&partnerID=8YFLogxK