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Geolocalization is essential to the efficient operation of many modern organizations. Reliable geolocalization can improve industrial processes, enhance human safety, reduce journeys, costs and losses, increase profitability and create new value-added services. Online services such as streaming, e-commerce but also the ICT infrastructure itself, wireless networks and edge computing, increasingly depend on geolocalization to provide their services. Due to the critical role of geolocalization in the ecosystem, performance requirements are high and manifold.

Different applications demand different properties from the service: tracking systems necessitate scalability, large coverage, very low cost and energy efficiency to support billions of objects of various sizes and values; real-time services need low latency to meet clients stringent demands; user-centered services impose strict privacy requirements. Yet, existing geolocalization infrastructures fail to meet all requirements, if any, and are still unreliable, unsafe for personal data, limited in scope, not scalable and not interoperable because innovations in this domain have remained siloed over the years. The objective of this project is to study and demonstrate why and how an open and unified geolocalization architecture would enable operators and their users to collaboratively contribute to the common global needs for location services of entities of any size and of any value. Since the location of an object is sensitive information and can constitute a major threat to privacy, GTTP will study more specifically how to natively secure this architecture. GTTP aims at (i) studying and designing an unified privacy-first geolocalization infrastructure, (ii) developing a demonstrator and evaluating it on various use cases, and (iii) analyzing in depth privacy aspects related to the geolocalization of humans and the tracking of objects in this framework. To do that, GTTP will provide the necessary scientific methodology and software artifacts and demonstrate their functionality, properties and performance on testbeds with real-life applications. By the means of two real-life use case types implemented with real position providers, the benefits of using the outcomes of GTTP before and after deploying the GTTP infrastructure will be showcased. Ideally, this project will serve as a pilot to larger international initiatives focused on its generalization and adoption.

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