Towards a sustainable cybersecurity framework for Agriculture 4.0 based on a systematic analysis of proposals

The world is currently experiencing a profound transformation driven by the convergence of disruptive technologies under the concept of Industry 4.0. These technologies have driven sectors such as agriculture to modernise and automate for greater sustainability, leading to what is now referred to as...

Descripción completa

Detalles Bibliográficos
Autores: Bustamante Villagomez, Diego Fernando, Sánchez Crespo, Luis Enrique, García Rosado, David, Santos-Olmo Parra, Antonio, Fernández-Medina Patón, Eduardo
Tipo de recurso: artículo
Fecha de publicación:2025
País:España
Institución:Universidad de Castilla-La Mancha
Repositorio:RUIdeRA. Repositorio Institucional de la UCLM
OAI Identifier:oai:ruidera.uclm.es:10578/46636
Acceso en línea:https://doi.org/10.1016/j.cose.2025.104650
https://www.sciencedirect.com/science/article/pii/S0167404825003396
https://hdl.handle.net/10578/46636
Access Level:acceso abierto
Palabra clave:Artificial intelligence
Cybersecurity
Digital agriculture
Sustainability
Descripción
Sumario:The world is currently experiencing a profound transformation driven by the convergence of disruptive technologies under the concept of Industry 4.0. These technologies have driven sectors such as agriculture to modernise and automate for greater sustainability, leading to what is now referred to as Agriculture 4.0 However, this transformation entails risks and requires new frameworks that address cybersecurity, sustainability, and knowledge reuse. In this paper, we conduct a systematic review of these new systems with the aim of identifying their main shortcomings and proposing a new framework. The review revealed a significant gap in comprehensively addressing cybersecurity, AI, and sustainability. This highlights the need for deeper exploration of how these elements interact to benefit the agricultural sector. To this end, we propose the development of the QUILLAQUA framework, oriented towards secure, intelligent, and sustainable agriculture, with a focus on fostering effective synergies among these crucial components. This framework integrates advanced technologies in cybersecurity, IoT, and AI to optimise the management of water and nutritional resources in hydroponic systems, ensuring sustainability and data security. This approach aims to enhance technological efficiency in agriculture. It also aims to foster greater awareness to tackle present and future challenges in sustainable agriculture. By doing so, it ensures a successful transition towards more digitized and secure agricultural practices.