Geo-location services are widely used by numerous applications and devices. E-scooters have become one of the recent prevalent devices that uses these services. Geo-location services are highly vulnerable to spoofing attacks. Spoofing detection and prevention techniques have been researched for time. Most of the researches have been focused on smart devices such as smartphones, UAVs or other vehicles. Geo-location spoofing also poses significant threats on e-scooters for user security, costs and reliability. In this study, we analyze the location spoofing threats on e-scooter sharing environment and propose a spoofing detection framework. The proposed framework monitors e-scooter’s location and tracks significant changes. The proposed service based framework is able to provide different levels of awareness, and enabled capabilities.
Alan : Mühendislik
Dergi Türü : Uluslararası
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