What is it about?
In this study, we develop a protection mechanism to ensure location privacy for drones on the Internet of Drones environment, focusing on sparse scenarios. Hence, both the identity and location of a drone are protected from attackers whose goal is to track the drone when it is performing its flight.
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Why is it important?
The recent advancement of drone technologies and communication protocols allows us to envision a robust and dynamic mobile vehicular network paradigm called the Internet of Drones (IoD), where drones will perform several location-based services for users, awakening the interest of malicious entities whose intention is to hamper the service. Hence, drones need high protection regarding their localization. However, there is a lack of Location Privacy Protection Mechanisms (LPPMs) for an IoD scenario, mainly in sparse scenarios.
Perspectives
Through extensive experiments, we show that the proposed mechanism can provide proper location privacy for drones in sparse configurations, reducing the use of the wireless communication channel. It can protect the real drone’s trajectory up to more than 90% of the time, leaking less than 25% of the drone’s real coordinates. Therefore, this study advances the state-of-the-art regarding Location Privacy Protection Mechanisms for IoD.
Alisson Svaigen
University of Ottawa
Read the Original
This page is a summary of: A Topological Dummy-based Location Privacy Protection Mechanism for the Internet of Drones, May 2022, Institute of Electrical & Electronics Engineers (IEEE),
DOI: 10.1109/icc45855.2022.9838525.
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