Enabling Drones in the Internet of Things With Decentralized Blockchain-Based Security

There is currently widespread use of drones and drone technology due to their rising applications that have come into fruition in the military, safety surveillance, agriculture, smart transportation, shipping, and delivery of packages in our Internet-of-Things global landscape. However, there are se...

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Bibliographic Details
Published in:IEEE internet of things journal 2021-04, Vol.8 (8), p.6406-6415
Main Authors: Yazdinejad, Abbas, Parizi, Reza M., Dehghantanha, Ali, Karimipour, Hadis, Srivastava, Gautam, Aledhari, Mohammed
Format: Article
Language:English
Subjects:
Authentication
Blockchain
Computer architecture
Cryptography
decentralized authentication
drone security
Drones
Empirical analysis
Internet
Internet of Things
Internet of Things (IoT)
Network latency
Security
Smart cities
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Summary:There is currently widespread use of drones and drone technology due to their rising applications that have come into fruition in the military, safety surveillance, agriculture, smart transportation, shipping, and delivery of packages in our Internet-of-Things global landscape. However, there are security-specific challenges with the authentication of drones while airborne. The current authentication approaches, in most drone-based applications, are subject to latency issues in real time with security vulnerabilities for attacks. To address such issues, we introduce a secure authentication model with low latency for drones in smart cities that looks to leverage blockchain technology. We apply a zone-based architecture in a network of drones, and use a customized decentralized consensus, known as drone-based delegated proof of stake (DDPOS), for drones among zones in a smart city that does not require reauthentication. The proposed architecture aims for positive impacts on increased security and reduced latency on the Internet of Drones (IoD). Moreover, we provide an empirical analysis of the proposed architecture compared to other peer models previously proposed for IoD to demonstrate its performance and security authentication capability. The experimental results clearly show that not only does the proposed architecture have low packet loss rate, high throughput, and low end-to-end delay in comparison to peer models but also can detect 97.5% of attacks by malicious drones while airborne.
ISSN:2327-4662
2327-4662
DOI:10.1109/JIOT.2020.3015382