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Applications of blockchain in unmanned aerial vehicles: A review
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“Content filtering [22], compression [29], caching [169], and dynamic content delivery [50] techniques may be used to ensure efficient bandwidth utilization.”
From A Survey of Video Surveillance Systems in Smart City (2023) · cites this paper as [169]
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“Additionally, blockchain can protect the four main data types in a UAV network (UAV identifier, flight route control, sensor data, and flying schedule) by writing and updating them within a blockchain block [96].”
From A Survey on the Convergence of Edge Computing and AI for UAVs: Opportunities and Challenges (2022) · cites this paper as [96]
In the citing paper
“Blockchain can aid in preventing such attacks through blockchain consensus algorithms where any UAV can report suspicious activity.If the number of entries contradicting a UAV is greater than a certain threshold that UAV is said to be malicious [96].”
From A Survey on the Convergence of Edge Computing and AI for UAVs: Opportunities and Challenges (2022) · cites this paper as [96]
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Cites
Bitcoin: A Peer-to-Peer Electronic Cash SystemPreprint
Nakamoto, S. (2019) · SSRN Electronic Journal · doi:10.2139/ssrn.3440802 · Cited by 14,677
An Overview of Blockchain Technology: Architecture, Consensus, and Future Trends
Zheng, Z., Xie, S., Dai, H., Chen, X., & Wang, H. (2017) · 2017 IEEE International Congress on Big Data (BigData Congress) · doi:10.1109/bigdatacongress.2017.85 · Cited by 4,515
Wireless communications with unmanned aerial vehicles: opportunities and challenges
Zeng, Y., Zhang, R., & Lim, T. J. (2016) · IEEE Communications Magazine · doi:10.1109/mcom.2016.7470933 · Cited by 4,048
Practical Byzantine fault tolerance
Castro, M., & Liskov, B. H. (1999) · Operating Systems Design and Implementation · doi:10.5555/296806.296824 · Cited by 4,026
Optimal LAP Altitude for Maximum Coverage
Al‐Hourani, A., Kandeepan, S., & Lardner, S. (2014) · IEEE Wireless Communications Letters · doi:10.1109/lwc.2014.2342736 · Cited by 3,163
The emergence of edge computing
Satyanarayanan, M. (2017) · Computer · doi:10.1109/mc.2017.9 · Cited by 2,832
IoT security: Review, blockchain solutions, and open challenges
Khan, M. A., & Salah, K. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2017.11.022 · Cited by 2,488
Hawk: The Blockchain Model of Cryptography and Privacy-Preserving Smart Contracts
Kosba, A., Miller, A., Shi, E., Wen, Z., & Papamanthou, C. (2016) · 2016 IEEE Symposium on Security and Privacy (SP) · doi:10.1109/sp.2016.55 · Cited by 2,227
On blockchain and its integration with IoT. Challenges and opportunities
Reyna, A., Martín, C., Chen, J., Soler, E., & Díaz, M. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2018.05.046 · Cited by 1,908
Blockchain for IoT security and privacy: The case study of a smart home
Dorri, A., Kanhere, S. S., Jurdak, R., & Gauravaram, P. (2017) · 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) · doi:10.1109/percomw.2017.7917634 · Cited by 1,843
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9 of the 245 references couldn’t be matched to a known paper.
Research works printed but not linked: 8
- Corcoran, 2014, vol. 201, 202014
- Alladi, 2020, Drona: lightweight mutual authentication protocol for drones using puf, IEEE Syst. J.
- Mozaffari, 2019, A tutorial on uavs for wireless networks: applications, challenges, and open problems, IEEE Commun. Surv. Tutor., 21, 2334, 10.1109/COMST.2019.2902862 · DOI · Paper page
- Cohn, 2017, Smart after all: blockchain, smart contracts, parametric insurance, and smart energy grids, Georgetown Law Technol. Rev., 1, 273
- Banafa, 2017, Iot and blockchain convergence: benefits and challenges, IEEE Int. Things
- Yu, 2019, A service-oriented blockchain system with virtualization, Trans. Blockchain Technol. Appl., 1, 1
- Wagner, 2014, Ensuring network scalibility: how to fight blockchain bloat, Bitcoin Mag., 6
- Hu, 2015, Mobile edge computing—a key technology towards 5g, ETSI White Paper, 11, 1
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Self-citationBagga, P., Das, A. K., Chamola, V., & Guizani, M. (2022) · Telecommunication Systems · doi:10.1007/s11235-022-00938-7 · Cited by 40
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Metadata
- Authors
- Alladi, T., Chamola, V., Sahu, N., & Guizani, M.
- Affiliations
- Birla Institute of Technology and Science, Pilani (IN)
- Qatar University (QA)
- Corresponding author
- Chamola, Vinay
- Venue
- Vehicular Communications
- Publisher
- Elsevier BV
- Published
- 2020-06
- Volume
- 23
- Pages
- 100249
- ISSN
- 2214-2096 (ISSN-L)
- OpenAlex
- W3008565796
- Cited by
- 274
- References
- 245
- Citations by year
- 2026: 12 · 2025: 33 · 2024: 41 · 2023: 66 · 2022: 48 · 2021: 48 · 2020: 26
- FWCI
- 44.22
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Vehicular Communications (publishedVersion)
- Qatar University QSpace (Qatar University) (submittedVersion)
- Funders
- Birla Institute of Technology and Science, Pilani
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Engineering › Aerospace Engineering › UAV Applications and Optimization
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
- Keywords
- blockchain, unmanned aerial vehicles, UAV networks, UAV security, decentralized storage, inventory management, surveillance, cryptographic hash functions, public-key encryption, FAA regulations
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