Privacy Preserving on Trajectories Created by Wi-Fi Connections in a University Campus

Gomes, Fernanda Oliveira; Silva, Douglas Simões; Agostinho, Bruno Machado; Martina, Jean Everson

doi:10.1109/isi.2018.8587319

Cited by 5 publications

(3 citation statements)

References 18 publications

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“…Visando atender as exigências legais, determinados grupos de usuários são omitidos pelo algoritmo de anonimização, e a partir desta amostra foram traçadas trajetórias pela sequência de conexões efetuadas por todo o campus (Gomes, 2019;Mangrich et al, 2019;Pavan et al, 2020). Para o presente estudo, obtiveram-se 79260 trajetórias, coletadas a partir dos dados de conexão dos 3 dias de maior intensidade de uso da rede em agosto de 2019 (Figura 1).…”

Section: Metodologia E Resultadosunclassified

University Campus Walkability Index Supported by Digital Databases

Oliveira¹,

Mangrich²,

Pavan³

et al. 2021

Blucher Design Proceedings

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Studies on the university campus commonly consider its spatial particularities in comparison to the city. However, the university debate about mobility also addresses urban-related challenges, like those posed by the dependence on vehicles and incentives for active mobility. Considering internal mobility, this work explores Wi-Fi connections from a Brazilian public university to trace community trajectories and population density on campus. We adopted objective data from the built environment for the application of a walkability index. The procedures were performed using GIS and the results shared for visualization in the Kepler.gl application. The results include walkability indices for different campus sectors. The discussion focuses on the potential use of the index in promoting a more integrated and less automobile-dependent campus.

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Section: Metodologia E Resultadosunclassified

University Campus Walkability Index Supported by Digital Databases

Oliveira¹,

Mangrich²,

Pavan³

et al. 2021

Blucher Design Proceedings

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“…The methodological process for collecting and anonymizing Wi-Fi data was developed in collaboration with researchers from the Computer Security Laboratory using the β-k-anonymity method for data anonymization. 27,28 By clustering at least k individuals in a group (in our case k = 5) that share characteristics such as location, connection time, and course, and discarding all data from users that do not meet the criteria. To obtain a more secure dataset and avoid sample loss requires an evaluation process that engages both the aimed information one wants to obtain and the adequate generalization for the data collection.…”

Section: Study 2: Social Infrastructures' Potential and Proximitiesmentioning

confidence: 99%

Visualizing connections: University campus and social infrastructure

Pavan

Oliveira

Mangrich

et al. 2022

International Journal of Architectural Computing

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As a social infrastructure, the material substrates of a campus intertwine with the sociabilities it supports. Intending to identify the integration potential between a Brazilian public university campus and its surrounding neighborhoods, we mapped the campus’ social infrastructures and identified through diagrammatic studies its morphological dimensions. Internet routers distributed on the university campus provided georeferenced data of the human dynamics on campus. Counting user connections in groups of access points, we obtained the population density of the potential social infrastructure use. Afterward, associating Wi-Fi data and typological information, we traced itineraries that connect these infrastructures. The results encompass a systemic view that highlights the campus’ potential to develop sociability within a complex service network. Furthermore, through new readings of the social infrastructures, we suggest alternative potential uses. These results highlight the hybrid methodologies that associate objective characteristics of the built environment with data-driven methodologies, such as Wi-Fi-generated datasets.

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“…If the data are anonymized, GDPR and LGPD are not applied. 20 Anonymity is considered a state of privacy. 21 To Warekar and Patil, 22 the central idea of anonymization is to ensure that the person is not identified, reached, and tracked.…”

Section: Anonymization and Data Privacymentioning

confidence: 99%

Campus regenerative design supported by university Wi-Fi connections

Mangrich

Pavan

Gomes

et al. 2019

International Journal of Architectural Computing

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This article aims to demonstrate the effectiveness of the university's Wi-Fi stored data in supporting campus resilience enterprises associated with university innovation. These data are generated by processes of device authentication in the access points distributed across the campus. Each log file associates user identification, location, and time and represents a powerful resource, but carries remarkable risks for users' privacy. The great challenge is how to measure, communicate, and make feasible this significant resource potential. Through

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Privacy Preserving on Trajectories Created by Wi-Fi Connections in a University Campus

Cited by 5 publications

References 18 publications

University Campus Walkability Index Supported by Digital Databases

University Campus Walkability Index Supported by Digital Databases

Visualizing connections: University campus and social infrastructure

Campus regenerative design supported by university Wi-Fi connections

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