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- Title
Security Architecture for Swarms of Autonomous Vehicles in Smart Farming.
- Authors
Martínez-Rodríguez, Belén; Bilbao-Arechabala, Sonia; Jorge-Hernandez, Fernando; Choi, Yosoon
- Abstract
Featured Application: The security architecture proposed can be implemented in any application that involves the use of autonomous vehicles, both terrestrial and aerial, e.g., monitoring of crops and livestock behaviour with UAVs (Unmanned Aerial Vehicles); autonomous control of implements in tractors to prepare the ground, to sow the seeds, to apply precise amounts of fertilizer or to maintain the crops; surveillance of areas with UAVs to detect intruders or wild animals; UAV-based sampling systems; etc. 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.
- Subjects
CYBERTERRORISM; HYBRID systems; FERTILIZERS; DATA transmission systems; INTERNET security; AUTOMOBILE security measures
- Publication
Applied Sciences (2076-3417), 2021, Vol 11, Issue 10, p4341
- ISSN
2076-3417
- Publication type
Article
- DOI
10.3390/app11104341