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Security and privacy are a concern in many Internet of Things environments, particularly when anyone can connect their device into it.We demonstrate and discuss the security in an airport environment where users are guided to through security, to their flight, or to shops or other points of interest, which in turn should reduce the stress of the user's stay in the airport. The challenge is not just that any user can connect their phone but also to ensure that personal data is handled correctly - in particular, users must be tracked by the infrastructure in order to guide them. Built on a fog-to-cloud platform developed by the Horizon2020-funded mF2C project, we discuss the steps towards a full implementation in a real airport, and the kind of security assessment that is required to persuade an airport to deploy a pervasive user-facing infrastructure without compromising - and hopefully improving - airport security, fulfilling GDPR compliance.

Airports are confusing environments even at the best of times. Recent advances in IoT have made it possible to develop real-time improved traveler assistance tools for mobile phones, which we describe in this paper. These tools will be particularly valuable for the elderly or disabled travelers, or people with other constraints that require assistance, but will be highly valuable also to the seasoned traveler. The tool covers the essential path through the airport onto the flight, but also allows the traveler to fill their waiting time by discovering the facilities of the airport, aided by a recommender system using machinelearning. At the same time the system provides the airport with anonymized user “heat maps” which can highlight congestion and other aggregated data to highlight situations that require intervention, such as emergencies. Initially targeting Android, the app makes use of the fog-to-cloud platform developed by the Horizon2020-funded mF2C project.