A Comprehensive Survey and Taxonomy of Cybersecurity Challenges and Proactive Measures for IoD

The use of Unmanned Aerial Vehicles (UAVs) in various domains is continuously increasing. The benefits offered by UAVs enable the facilitation of functions or execution of tasks, such as search and rescue, which would otherwise be challenging or financially restrictive. Furthermore, UAVs are important for the military domain being considered as efficient weapons. Therefore, many countries and retail companies are investing in the massive production of UAVs for market as well as government purposes. Nevertheless, most UAVs in all domains, lack even basic cybersecurity mechanisms, thus, posing cybersecurity threats that significantly affect cybersecurity aspects or result in physical damage and even loss of human life. Many cybersecurity solutions have been proposed in the literature, encompassing both reactive and proactive measures, with the latter being preferable. Added to this, threat modeling emerges as an effective proactive measure with minimal cost and complexity. The current work conducts extensive and comprehensive research concerning the domain of UAVs. Initially, the article outlines the historical development of UAVs and the different taxonomies in which they are classified according to different characteristics (e.g., number of rotors). The next sections detail a comprehensive description of the Internet of Drones (IoD) environment and the various relevant cybersecurity issues. Subsequently, the article examines a wide range of diverse threat modeling approaches found in the literature, while it categorizes relevant articles based on whether they describe solutions that integrate threat modeling or propose novel approaches for threat modeling.

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Publication Details

Journal
ACM Computing Surveys
Published
2025-12-25
DOI
https://doi.org/10.1145/3785658
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
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article

A Comprehensive Survey and Taxonomy of Cybersecurity Challenges and Proactive Measures for IoD

Arnolnt Spyros, Theodora Tsikrika, Dimitrios Kavallieros, Stefanos Vrochidis et al.
ACM Computing Surveys
UAV Applications and Optimization
article

A Comprehensive Survey and Taxonomy of Cybersecurity Challenges and Proactive Measures for IoD

Arnolnt Spyros, Theodora Tsikrika, Dimitrios Kavallieros, Stefanos Vrochidis, Yiannis Kompatsiaris, Periklis Chatzimisios
article en

Abstract

The use of Unmanned Aerial Vehicles (UAVs) in various domains is continuously increasing. The benefits offered by UAVs enable the facilitation of functions or execution of tasks, such as search and rescue, which would otherwise be challenging or financially restrictive. Furthermore, UAVs are important for the military domain being considered as efficient weapons. Therefore, many countries and retail companies are investing in the massive production of UAVs for market as well as government purposes. Nevertheless, most UAVs in all domains, lack even basic cybersecurity mechanisms, thus, posing cybersecurity threats that significantly affect cybersecurity aspects or result in physical damage and even loss of human life. Many cybersecurity solutions have been proposed in the literature, encompassing both reactive and proactive measures, with the latter being preferable. Added to this, threat modeling emerges as an effective proactive measure with minimal cost and complexity. The current work conducts extensive and comprehensive research concerning the domain of UAVs. Initially, the article outlines the historical development of UAVs and the different taxonomies in which they are classified according to different characteristics (e.g., number of rotors). The next sections detail a comprehensive description of the Internet of Drones (IoD) environment and the various relevant cybersecurity issues. Subsequently, the article examines a wide range of diverse threat modeling approaches found in the literature, while it categorizes relevant articles based on whether they describe solutions that integrate threat modeling or propose novel approaches for threat modeling.

ACM Computing SurveysVol. 58(7)
University of New Mexico (US), International Hellenic University (GR), Information Technologies Institute (GR)
Openalex Percentile: Top 22%
UAV Applications and Optimization
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