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dc.contributor.authorBakyt, Makhabbat
dc.contributor.authorSpada, Luigi La
dc.contributor.authorZeeshan, Nida
dc.contributor.authorMoldamurat, Khuralay
dc.contributor.authorAtanov, Sabyrzhan
dc.date.accessioned2026-03-03T11:57:28Z
dc.date.available2026-03-03T11:57:28Z
dc.date.issued2025
dc.identifier.citationBakyt, M.; La Spada, L.; Zeeshan, N.; Moldamurat, K.; Atanov, S. Application of Quantum Key Distribution to Enhance Data Security in Agrotechnical Monitoring Systems Using UAVs. Appl. Sci. 2025, 15, 2429. https://doi.org/10.3390/app15052429ru
dc.identifier.issn2076-3417
dc.identifier.otherdoi.org/10.3390/app15052429
dc.identifier.urihttp://repository.enu.kz/handle/enu/29699
dc.description.abstractEnsuring secure data transmission in agrotechnical monitoring systems using unmanned aerial vehicles (UAVs) is critical due to increasing cyber threats, particularly with the advent of quantum computing. This study proposes the integration of Quantum Key Distribution (QKD), based on the BB84 protocol, as a secure key management mechanism to enhance data security in UAV-based geographic information systems (GIS) for monitoring agricultural fields and forest fires. QKD is not an encryption algorithm but a secure key distribution protocol that provides information-theoretic security by leveraging the principles of quantum mechanics. Rather than replacing traditional encryption methods, QKD complements them by ensuring the secure generation and distribution of encryption keys, while AES-128 is employed for efficient data encryption. The QKD framework is optimized for real-time operations through adaptive key generation and energy-efficient hardware, alongside Lempel–Ziv–Welch (LZW) compression to improve the bandwidth efficiency. The simulation results demonstrate that the proposed system achieves secure key generation rates up to 50 Mbps with minimal computational overhead, maintaining reliability even under adverse environmental conditions. This hybrid approach significantly improves data resilience against both quantum and classical cyber-attacks, offering a comprehensive and robust solution for secure agrotechnical data transmission.ru
dc.language.isoenru
dc.publisherApplied Sciencesru
dc.relation.ispartofseries15, 2429;
dc.subjectquantum key distributionru
dc.subjectUAVru
dc.subjectdata securityru
dc.subjectgeographic information systemsru
dc.subjectagrotechnical monitoringru
dc.subjectAI methodsru
dc.titleApplication of Quantum Key Distribution to Enhance Data Security in Agrotechnical Monitoring Systems Using UAVsru
dc.typeArticleru


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