Zero Trust-based preventative detection of vulnerabilities for IoT-based precision agriculture: a case-study on the mySense platform
Rafael Ferreira, Telmo Adão, Raul Morais, António Rio Costa, Emanuel Peres · Procedia Computer Science · 2025
Precision agriculture (PA) relies in the application of advanced technologies, instruments, measurement processes and data analytics that aim at the optimization of agricultural production. When developed supported by IoT and sensors networks in constant communication, concerns regarding cybersecurity are of utmost importance. Among the approaches to address these concerns, Zero Trust stand out as a paradigm that assumes that any system can be compromised or exposed to cyber threats and, therefore, requires consistent verification. Based in such paradigm, this paper, proposes a solution employing log analysis techniques to identify potential attacks and vulnerabilities focusing IoT-based PA, mainly resorting to Splunk platform. To illustrate the applicability and effectiveness of the proposed solution, a case-study was carried out over mySense, which is a platform for data and services management oriented to the optimization of agriculture through the extensive and intensive use and combination of diverse modalities of information and communication technologies (ICT). Resulting from putting this case study into practice and further reflexion over respective outcomes, some recommendations are provided for implementing robust security practices in systems matching the characteristics of the addressed platform.