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
Design of a collaborative network for mapping digital skills for Industry 5.0
Design of a collaborative network for mapping digital skills for Industry 5.0Maria Gustavsson,...
Solving the clustered minimum routing tree problem using Prüfer-coding based hybrid genetic algorithms
Solving the clustered minimum routing tree problem using Prüfer-coding based hybrid genetic...
Augmenting API Security Testing with Automated LLM-Driven Test Generation
Augmenting API Security Testing with Automated LLM-Driven Test GenerationEmil Marian Pasca, Rudolf...
Data Quality Assessment Methodology
Data Quality Assessment MethodologyDaniela Delinschi, Rudolf Erdei, Emil Pasca, Oliviu Matei...
Privacy Assessment Methodology for Machine Learning Models and Data Sources
Privacy Assessment Methodology for Machine Learning Models and Data SourcesRudolf Erdei, Emil...
Aggregation Strategy for Federated Machine Learning Algorithm
Aggregation Strategy for Federated Machine Learning AlgorithmRudolf Erdei, Daniela Delinschi,...
Using Markov chains for determining the proximity contagion of smart specialization of localities
Using Markov chains for determining the proximity contagion of smart specialization of...
Advancements in Machine Learning Algorithms for Precision Crop Yield Prediction: A Comprehensive Review with focus on European Union
Advancements in Machine Learning Algorithms for Precision Crop Yield Prediction: A Comprehensive...
TPC Net: An Efficient CNN Architecture for Tomato Plant Disease and Pest Classification
TPC Net: An Efficient CNN Architecture for Tomato Plant Disease and Pest ClassificationOvidiu...
Enhancing API Security Testing against BOLA and Authentication Vulnerabilities through an LLM-Enhanced Framework
Enhancing API Security Testing against BOLA and Authentication Vulnerabilities through an...
A new vision of social behavior on genetic algorithm performance
A new vision of social behavior on genetic algorithm performanceAndreea Tatar, Nicolae Fat, Adrian...
A comparative study of different genetic algorithms approaches to capacitated vehicle routing problem for collection of agricultural products
A comparative study of different genetic algorithms approaches to capacitated vehicle routing...
0 Comments