UTM-Chain: Blockchain-Based Secure Unmanned Traffic Management for Internet of Drones.

Internet-of-Drones IoD UAV ground control station hyperledger unmanned aerial systems unmanned traffic management

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
27 Apr 2021
Historique:
received: 15 03 2021
revised: 16 04 2021
accepted: 23 04 2021
entrez: 30 4 2021
pubmed: 1 5 2021
medline: 1 5 2021
Statut: epublish

Résumé

Unmanned aerial systems (UAVs) are dramatically evolving and promoting several civil applications. However, they are still prone to many security issues that threaten public safety. Security becomes even more challenging when they are connected to the Internet as their data stream is exposed to attacks. Unmanned traffic management (UTM) represents one of the most important topics for small unmanned aerial systems for beyond-line-of-sight operations in controlled low-altitude airspace. However, without securing the flight path exchanges between drones and ground stations or control centers, serious security threats may lead to disastrous situations. For example, a predefined flight path could be easily altered to make the drone perform illegal operations. Motivated by these facts, this paper discusses the security issues for UTM's components and addresses the security requirements for such systems. Moreover, we propose UTM-Chain, a lightweight blockchain-based security solution using hyperledger fabric for UTM of low-altitude UAVs which fits the computational and storage resources limitations of UAVs. Moreover, UTM-Chain provides secure and unalterable traffic data between the UAVs and their ground control stations. The performance of the proposed system related to transaction latency and resource utilization is analyzed by using cAdvisor. Finally, the analysis of security aspects demonstrates that the proposed UTM-Chain scheme is feasible and extensible for the secure sharing of UAV data.

Identifiants

pubmed: 33925489
pii: s21093049
doi: 10.3390/s21093049
pmc: PMC8123815
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Azza Allouch (A)

Faculty of Mathematical, Physical and Natural Sciences of Tunis, University of El Manar, Tunis 1068, Tunisia.
Robotics and Internet of Things Lab, Prince Sultan University, Riyadh 12435, Saudi Arabia.

Omar Cheikhrouhou (O)

College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia.

Anis Koubâa (A)

Robotics and Internet of Things Lab, Prince Sultan University, Riyadh 12435, Saudi Arabia.

Khalifa Toumi (K)

IRT SystemX, Paris-Saclay, 91127 Palaiseau, France.

Mohamed Khalgui (M)

School of Intelligent Systems Science and Engineering, Zhuhai Campus, Jinan University, Zhuhai 519070, China.
National Institute of Applied Sciences and Technology, University of Carthage, Tunis 1080, Tunisia.

Tuan Nguyen Gia (T)

Department of Computing, University of Turku, 20500 Turku, Finland.

Classifications MeSH