COVID-19 & privacy: Enhancing of indoor localization architectures towards effective social distancing | Zendy

Paolo Barsocchi | Zendy; Antonello Calabrò | Zendy; Antonino Crivello | Zendy; Said Daoudagh | Zendy; Francesco Furfari | Zendy; Michele Girolami | Zendy; Eda Marchetti | Zendy

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COVID-19 & privacy: Enhancing of indoor localization architectures towards effective social distancing

Author(s) -

Paolo Barsocchi,

Antonello Calabrò,

Antonino Crivello,

Said Daoudagh,

Francesco Furfari,

Michele Girolami,

Eda Marchetti

Publication year - 2021

Publication title -

array

Language(s) - English

Resource type - Journals

ISSN - 2590-0056

DOI - 10.1016/j.array.2020.100051

Subject(s) - software deployment , social distance , computer science , architecture , covid-19 , reputation , computer security , internet privacy , service (business) , work (physics) , human–computer interaction , business , engineering , geography , medicine , mechanical engineering , social science , disease , archaeology , pathology , marketing , sociology , infectious disease (medical specialty) , operating system

The way people access services in indoor environments has dramatically changed in the last year The countermeasures to the COVID-19 pandemic imposed a disruptive requirement, namely pre-serving social distance among people in indoor environments We explore in this work the possibility of adopting the indoor localization technologies to measure the distance among users in indoor environments We discuss how information about people’s contacts collected can be exploited during three stages: before, during, and after people access a service We present a reference architecture for an Indoor Localization System (ILS), and we illustrate three representative use-cases We derive some architectural requirements, and we discuss some issues that concretely cope with the real installation of an ILS in real-world settings In particular, we explore the privacy and trust reputation of an ILS, the discovery phase, and the deployment of the ILS in real-world settings We finally present an evaluation framework for assessing the performance of the architecture proposed

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