Abstract

With the prevalence of Aerospace Technologies, the regulations of cybersecurity are becoming smarter, assured, and long-lasting. Modern communication network technologies have enormous growth in the cyber threats and masquerading attacks to steal data. Hence concepts and mechanisms are built and made into regulations for a safer environment. Unmanned aerial vehicles (UAVs), often known as drones, are becoming increasingly common, posing new problems in areas such as monitoring, agriculture, weather prediction, surveillance and other fields. This includes a large number of devices that, owing to a lack of energy or a system shutdown, might occasionally send incorrect signals and must be monitored autonomously by drones in remote regions. In this paper, we propose a energy intensive blockchain-based platform for controlling drone operations while ensuring trust and security for all parties involved. The goal of this paper is to explore the extent of Unmanned Aerial Vehicle (UAV) vulnerability to deceptive (Global Navigation Satellite System) GNSS signals by establishing the necessary conditions for UAV via GPS (Global Positioning System) spoofing. The existing algorithms used to mitigate spoofing attacks have unbounded long-term errors, which increase in time during its performance. An innovative idea is necessitating to eliminate those errors, thereby in the proposed work, Ethereum Blockchain has been implemented to create a blockchain network to mitigate the spoofing attacks. Blockchains are incredibly popular nowadays and is the basic technology for cryptocurrencies. Blockchain technology greatly impacts the applications in UAVs. The proposed methodology uses the network that has to be registered in the aerospace components through the ledger associated with relevant data communication in the Blockchain. When an intruder gets acquired with the data in the network with a single block, it cannot affect the entire network due to the data integrity in the ledgers that has been cryptographically assigned. The blockchain network intermittently verifies the geolocation data so that any outlying data would be detected and eliminated quickly. The data that has been verified is made available for the view of aviation and spacecraft operations through the distributed network. The proposed methodology outperforms the existing methods in intense drift error and, in the case of confidentiality and integrity, it has very low risk when compared to existing methods.

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