A Privacy Assessment Framework For Data Tiers In Multilayered Ecosystem Architectures
A Privacy Assessment Framework For Data Tiers In Multilayered Ecosystem Architectures
Ionela Chereja, Rudolf Erdei, Emil Pasca, Daniela Delinschi, Anca Avram, Oliviu Matei
Abstract. As smart agriculture evolves into an interconnected Internet of Fields, massive amounts of data flow through multiple architectural layers, from ground-level sensors to cloud storage and complex analytics. This paper proposes a Privacy Assessment Framework specifically designed for data tiers within multilayered ecosystem architectures. The framework provides a systematic method to classify and measure privacy risks across different architectural layers (Edge, Fog, Cloud), to map vulnerabilities at the data collection, processing and transmission levels, and to support secure-by-design ecosystem decisions. The proposed framework offers a structured path to build more robust, compliant and trustworthy agricultural ecosystems that resist data breaches and misuse.
Keywords: privacy assessment; multilayered architecture; data tiers; edge-fog-cloud; smart agriculture
📋 Cite this publication
Ionela Chereja, Rudolf Erdei, Emil Pasca, Daniela Delinschi, Anca Avram, Oliviu Matei, "A Privacy Assessment Framework For Data Tiers In Multilayered Ecosystem Architectures", Mathematics (Basel), vol. 13, no. 7, MDPI, 2025, 2023. DOI: https://doi.org/10.3390/math13071116.
Reference: Mathematics (Basel), vol. 13, no. 7, MDPI, 2025. DOI: 10.3390/math13071116
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