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A new location verification protocol and blockchain-based drone rental mechanism in smart farming.

Authors :
Lee, Shincheol
Shin, Ji Sun
Source :
Computers & Electronics in Agriculture. Nov2023, Vol. 214, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

In smart farming, information and communication technologies such as IoT are driving the agricultural industry towards improved efficiency and productivity while reducing human intervention. As agricultural systems become increasingly connected to the Internet, they provide many new opportunities but also introduce new challenges. Connecting such systems to a network exposes them to cyberattacks and vulnerabilities; therefore, security and privacy are important challenges that should be addressed. Specifically, because of the distinct characteristics of smart farming such as environmental and farm conditions, security solutions suitable for smart farming are indispensable. In this paper, we propose a location verification (LV) protocol as a security solution for autonomous and intelligent moving devices such as drones and robots deployed in smart farming. Moreover, as an application of the proposed LV protocol, we propose a blockchain-based secure drone rental mechanism for smart farming. We present a security analysis in which the proposed LV protocol and rental mechanism are secure against man-in-the-middle, impersonation, modification, replay, and relay attacks, with the rental mechanism providing mutual authentication. Through a performance evaluation of the LV protocol in terms of the communication overhead, computation cost, and storage cost and a performance evaluation of the blockchain for drone rental with regard to throughput and latency, we confirm the feasibility and efficiency of the LV protocol and drone rental mechanism in the smart farming. • A location verification protocol for agricultural drones and robots is proposed. • A blockchain-based drone rental mechanism without human intervention is introduced. • Both the protocol and the mechanism are secure against various cyberattacks. • Performance results show their feasibility and efficiency in smart farming. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01681699
Volume :
214
Database :
Academic Search Index
Journal :
Computers & Electronics in Agriculture
Publication Type :
Academic Journal
Accession number :
173454040
Full Text :
https://doi.org/10.1016/j.compag.2023.108267