Big Data Analytics-Envisioned Authenticated Key Management Scheme in IoT-Based Smart Farming System for Sustainable Development of Smart Cities
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Le résumé fourni par la source
Smart farming enhances sustainable communication practices through the deployment of energy-efficient Internet of Things (IoT) devices, low-power wireless technologies, and edge/fog computing to reduce data transmission and energy usage. Smart cities represent a concept in which technology, data, and innovation enhance urban efficiency, sustainability, and livability. Smart farming has the potential to facilitate the sustainable development of smart cities. However, integrating smart farming into smart city systems presents significant challenges, particularly with respect to the security of their interconnected components. The vulnerability of agricultural information and the likelihood of cybersecurity threats necessitate the development of targeted security solutions for smart farming. To address these challenges, we propose a Big Data Analytics-envisioned secure smart farming scheme for sustainable cities (in short, CSSF-SC). It is an efficient authenticated key agreement mechanism that enables secure mutual authentication, session-key establishment, and dynamic key management among smart farming devices, drones, and cloud servers. Using the Scyther verification tool, security is formally verified under the Dolev–Yao and CK adversary models, demonstrating resilience to various potential attacks. A comparative performance analysis shows that CSSF-SC outperforms current schemes in terms of computation and communication costs while offering stronger security and additional functionalities. Finally, a practical implementation is done using the MangoLeafBD dataset and an EfficientNet-B7 architecture. It achieves 99.16% accuracy, validating the framework’s effectiveness for secure crop-data collection and analysis in real-world scenarios.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Big Data Analytics-Envisioned Authenticated Key Management Scheme in IoT-Based Smart Farming System for Sustainable Development of Smart Cities
- Date Crossref
- 15/12/2025
- Éditeur
- Institute of Electrical and Electronics Engineers (IEEE)
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Graphic Era University pays non établi dans la noticeUniversité ou école supérieure
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International Institute of Information Technology Theory and Algorithmic Research pays non établi dans la noticeUniversité ou école supérieure
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Deakin University pays non établi dans la noticeUniversité ou école supérieure
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Kyungpook National University pays non établi dans la noticeUniversité ou école supérieure
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Graphic Era Deemed to be University Department of Computer Science and Engineering pays non établi dans la noticeUniversité ou école supérieure
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School of Information Technology pays non établi dans la noticeUniversité ou école supérieure
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School of Electronics Engineering pays non établi dans la noticeUniversité ou école supérieure
Graphic Era University, Theory and Algorithmic Research — International Institute of Information Technology et Deakin University, avec 4 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.