Securing Authentication and Detecting Malicious Entities in Drone Missions

This study proposes a hierarchical communication framework for drone swarms designed to enhance security and operational efficiency. Leveraging elliptic curve cryptography and space quanta concepts, the model ensures continuous authentication and risk assessment of participating entities. Experimental results demonstrate the framework’s effectiveness in mitigating security risks, achieving reliable communication even in adverse conditions. Key findings include significant improvement in threat detection accuracy and reduced computational overhead, validating the model’s applicability for real-world drone swarm operations. These contributions establish a robust foundation for secure and resilient drone coordination.

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Publication Details

Journal
Drones
Published
2024-12-18
DOI
https://doi.org/10.3390/drones8120767
Citations
5
Primary Topic
Advanced Malware Detection Techniques
Type
article
Field-Weighted Citation Impact
1.75

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article

Securing Authentication and Detecting Malicious Entities in Drone Missions

Nicolae Constantinescu, Oana-Adriana Țicleanu, Daniel Ioan Hunyadi
5 citations
Drones
Advanced Malware Detection Techniques
1.75
article

Securing Authentication and Detecting Malicious Entities in Drone Missions

Nicolae Constantinescu, Oana-Adriana Țicleanu, Daniel Ioan Hunyadi
article en
5 citations

Abstract

This study proposes a hierarchical communication framework for drone swarms designed to enhance security and operational efficiency. Leveraging elliptic curve cryptography and space quanta concepts, the model ensures continuous authentication and risk assessment of participating entities. Experimental results demonstrate the framework’s effectiveness in mitigating security risks, achieving reliable communication even in adverse conditions. Key findings include significant improvement in threat detection accuracy and reduced computational overhead, validating the model’s applicability for real-world drone swarm operations. These contributions establish a robust foundation for secure and resilient drone coordination.

DronesVol. 8(12)
Lucian Blaga University of Sibiu (RO)
Universitatea "Lucian Blaga" din Sibiu
Openalex Percentile: Top 14%
Advanced Malware Detection Techniques
1.75
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Securing Authentication and Detecting Malicious Entities in Drone Missions — Nicolae Constantinescu, Oana-Adriana Țicleanu, et al. · Drones (2024) | TGRS Research Map | TGRS