A Review on Security Issues and Solutions of the Internet of Drones

Article


Yang, Wencheng, Wang, Song, Yin, Xuefei, Wang, Xu and Hu, Jiankun. 2022. "A Review on Security Issues and Solutions of the Internet of Drones." IEEE Open Journal of the Computer Society. 3, pp. 96-110. https://doi.org/10.1109/OJCS.2022.3183003
Article Title

A Review on Security Issues and Solutions of the Internet of Drones

Article CategoryArticle
AuthorsYang, Wencheng (Author), Wang, Song (Author), Yin, Xuefei (Author), Wang, Xu (Author) and Hu, Jiankun (Author)
Journal TitleIEEE Open Journal of the Computer Society
Journal Citation3, pp. 96-110
Number of Pages15
Year2022
PublisherIEEE (Institute of Electrical and Electronics Engineers)
Place of PublicationUnited States
ISSN2644-1268
2644-125X
Digital Object Identifier (DOI)https://doi.org/10.1109/OJCS.2022.3183003
Web Address (URL)https://ieeexplore.ieee.org/document/9795697
Abstract

The Internet of Drones (IoD) has attracted increasing attention in recent years because of its portability and automation, and is being deployed in a wide range of fields (e.g., military, rescue and entertainment). Nevertheless, as a result of the inherently open nature of radio transmission paths in the IoD, data collected, generated or handled by drones is plagued by many security concerns. Since security and privacy are among the foremost challenges for the IoD, in this paper we conduct a comprehensive review on security issues and solutions for IoD security, discussing IoD-related security requirements and identifying the latest advancement in IoD security research. This review analyzes a host of important security technologies with emphases on authentication techniques and blockchain-powered schemes. Based on a detailed analysis, we present the challenges faced by current methodologies and recommend future IoD security research directions. This review shows that appropriate security measures are needed to address IoD security issues, and that newly designed security solutions should particularly consider the balance between the level of security and cost efficiency.

KeywordsAuthentication, blockchain, internet of drones (IoD), privacy, security
ANZSRC Field of Research 2020460407. System and network security
Byline AffiliationsEdith Cowan University
La Trobe University
University of New South Wales
University of Technology Sydney
Institution of OriginUniversity of Southern Queensland
Permalink -

https://research.usq.edu.au/item/q79v7/a-review-on-security-issues-and-solutions-of-the-internet-of-drones

Download files

  • 187
    total views
  • 79
    total downloads
  • 4
    views this month
  • 10
    downloads this month

Export as

Related outputs

UAV Control Method Combining Reptile Meta-Reinforcement Learning and Generative Adversarial Imitation Learning
Jiang, Shui, Ge, Yanning, Yang, Xu, Yang, Wencheng and Cui, Hui. 2024. "UAV Control Method Combining Reptile Meta-Reinforcement Learning and Generative Adversarial Imitation Learning." Future Internet. 16 (3). https://doi.org/10.3390/fi16030105
Evaluating Cryptocurrency Market Risk on the Blockchain: An Empirical Study Using the ARMA-GARCH-VaR Model
Huang, Yongrong, Wang, Huiqing, Chen, Zhide, Feng, Chen, Zhu, Kexin, Yang, Xu and Yang, Wencheng. 2024. "Evaluating Cryptocurrency Market Risk on the Blockchain: An Empirical Study Using the ARMA-GARCH-VaR Model." IEEE Open Journal of the Computer Society. 5, pp. 83-94. https://doi.org/10.1109/OJCS.2024.3370603
Feature extraction and learning approaches for cancellable biometrics: A survey
Yang, Wencheng, Wang, Song, Hu, Jiankun, Tao, Xiaohui and Li, Yan. 2024. "Feature extraction and learning approaches for cancellable biometrics: A survey." CAAI Transactions on Intelligence Technology. 9 (1), pp. 4-25. https://doi.org/10.1049/cit2.12283
An Adaptive Feature Fusion Network for Alzheimer’s Disease Prediction
Wei, Shicheng, Li, Yan and Yang, Wencheng. 2023. "An Adaptive Feature Fusion Network for Alzheimer’s Disease Prediction." 12th International Conference on Health Information Science (HIS 2023). Melbourne, Australia 23 - 24 Oct 2023 Germany. https://doi.org/10.1007/978-981-99-7108-4
A Review of Homomorphic Encryption for Privacy-Preserving Biometrics
Yang, Wencheng, Wang, Song, Cui, Hui, Tang, Zhaohui and Li, Yan. 2023. "A Review of Homomorphic Encryption for Privacy-Preserving Biometrics." Sensors. 23 (7). https://doi.org/10.3390/s23073566
Hybrid KD-NFT: A multi-layered NFT assisted robust Knowledge Distillation framework for Internet of Things
Wang, Nai, Chen, Junjun, Wu, Di, Yang, Wencheng, Xiang, Yong and Sajjanhar, Atul. 2023. "Hybrid KD-NFT: A multi-layered NFT assisted robust Knowledge Distillation framework for Internet of Things." Journal of Information Security and Applications. 75. https://doi.org/10.1016/j.jisa.2023.103483
A review of multi-factor authentication in the Internet of Healthcare Things
Suleski, Tance, Ahmed, Mohiuddin, Yang, Wencheng and Wang, Eugene. 2023. "A review of multi-factor authentication in the Internet of Healthcare Things." Digital Health. 9, pp. 1-20. https://doi.org/10.1177/20552076231177144
Token-Based Biometric Enhanced Key Derivation for Authentication Over Wireless Networks
Cui, Hui, Yang, Xuechao, Yang, Wencheng, Qin, Baodong and Yi, Xun. 2023. "Token-Based Biometric Enhanced Key Derivation for Authentication Over Wireless Networks." IEEE Transactions on Network Science and Engineering. 10 (4), pp. 2347-2357. https://doi.org/10.1109/TNSE.2023.3246439
A Secure Online Fingerprint Authentication System for Industrial IoT Devices over 5G Networks
Bedari, Aseel, Wang, Song and Yang, Wencheng. 2022. "A Secure Online Fingerprint Authentication System for Industrial IoT Devices over 5G Networks." Sensors. 22 (19), pp. 1-16. https://doi.org/10.3390/s22197609
Multimedia security and privacy protection in the internet of things: research developments and challenges
Yang, Wencheng, Wang, Song, Hu, Jiankun and Karie, Nickson M.. 2022. "Multimedia security and privacy protection in the internet of things: research developments and challenges." International Journal of Multimedia Intelligence and Security. 4 (1), pp. 20-46. https://doi.org/10.1504/ijmis.2022.121282
A linear convolution-based cancelable fingerprint biometric authentication system
Yang, Wencheng, Wang, Song, Kang, James Jin, Johnstone, Michael N. and Bedari, Aseel. 2022. "A linear convolution-based cancelable fingerprint biometric authentication system." Computers and Security. 114, pp. 1-14. https://doi.org/10.1016/j.cose.2021.102583
Network Forensics in the Era of Artificial Intelligence
Yang, Wencheng, Johnstone, Michael N., Wang, Song, Karie, Nickson M., Bin Sahri, Nor Masri and Kang, James Jin. 2022. "Network Forensics in the Era of Artificial Intelligence." Ahmed, Mohiuddin, Islam, Sheikh Rabiul, Anwar, Adnan, Moustafa, Nour and Pathan, Al-Sakib Khan (ed.) Explainable Artificial Intelligence for Cyber Security: Next Generation Artificial Intelligence. Cham, Switzerland. Springer. pp. 171-190
Leveraging Artificial Intelligence Capabilities for Real-Time Monitoring of Cybersecurity Threats
Karie, Nickson M., Bin Sahri, Nor Masri Bin, Yang, Wencheng and Johnstone, Michael N.. 2022. "Leveraging Artificial Intelligence Capabilities for Real-Time Monitoring of Cybersecurity Threats." Ahmed, Mohiuddin, Islam, Sheikh Rabiul, Anwar, Adnan, Moustafa, Nour and Pathan, Al-Sakib Khan (ed.) Explainable Artificial Intelligence for Cyber Security: Next Generation Artificial Intelligence. Cham, Switzerland. Springer. pp. 141-169
A novel statistical technique for intrusion detection systems
Kabir, Enamul, Hu, Jiankun, Wang, Hua and Zhou, Guangping. 2018. "A novel statistical technique for intrusion detection systems." Future Generation Computer Systems: the international journal of grid computing: theory, methods and applications. 79, pp. 303-318. https://doi.org/10.1016/j.future.2017.01.029
A statistical framework for intrusion detection system
Kabir, Md Enamul and Hu, Jiankun. 2014. "A statistical framework for intrusion detection system." Zhang, Defu (ed.) 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2014). Xiamen, China 19 - 21 Aug 2014 Piscataway, NJ. United States. https://doi.org/10.1109/FSKD.2014.6980966