Benoît Garbinato
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A Framework for Devising, Evaluating and Fine-tuning Indoor Tracking Algorithms Open
In recent years, we have observed a growing interest in Indoor Tracking Systems (ITS) for providing location-based services indoors. This is due to the limitations of Global Navigation and Satellite Systems, which do not operate in non-lin…
Know their Customers: An Empirical Study of Online Account Enumeration Attacks Open
Internet users possess accounts on dozens of online services where they are often identified by one of their e-mail addresses. They often use the same address on multiple services and for communicating with their contacts. In this paper, w…
Breadcrumbs Open
Rich human mobility datasets are fundamental for evaluating algorithms pertaining to geographic information systems. Unfortunately , existing mobility datasets-that are available to the research community-are restricted to location data ca…
Analyzing privacy-aware mobility behavior using the evolution of spatio-temporal entropy Open
Analyzing mobility behavior of users is extremely useful to create or improve existing services. Several research works have been done in order to study mobility behavior of users that mainly use users' significant locations. However, thes…
20 Years of Mobility Modeling & Prediction: Trends, Shortcomings & Perspectives Open
In this paper, we present a comprehensive survey of human-mobility modeling based on 1680 articles published between 1999 and 2019, which can serve as a roadmap for research and practice in this area. Mobility modeling research has acceler…
20 Years of Mobility Modeling & Prediction: Trends, Shortcomings & Perspectives Open
In this paper, we present a comprehensive survey of human-mobility modeling based on 1680 articles published between 1999 and 2019, which can serve as a roadmap for research and practice in this area. Mobility modeling research has acceler…
Breadcrumbs: A Feature Rich Mobility Dataset with Point of Interest Annotation Open
In this paper, we present Breadcrumbs, a mobility dataset collected in the city of Lausanne (Switzerland) from multiple mobile phone sensors (GPS, WiFi, Bluetooth) from 81 users for a duration of 12 weeks. Currently available mobility data…
Examining the Limits of Predictability of Human Mobility Open
We challenge the upper bound of human-mobility predictability that is widely used to corroborate the accuracy of mobility prediction models. We observe that extensions of recurrent-neural network architectures achieve significantly higher …
On the Inability of Markov Models to Capture Criticality in Human Mobility Open
We examine the non-Markovian nature of human mobility by exposing the inability of Markov models to capture criticality in human mobility. In particular, the assumed Markovian nature of mobility was used to establish an upper bound on the …
Generative Models for Simulating Mobility Trajectories Open
Mobility datasets are fundamental for evaluating algorithms pertaining to geographic information systems and facilitating experimental reproducibility. But privacy implications restrict sharing such datasets, as even aggregated location-da…
Capstone: Mobility Modeling on Smartphones to Achieve Privacy by Design Open
Sharing location traces with context-aware service providers has privacy implications. Location-privacy preserving mechanisms, such as obfuscation, anonymization and cryptographic primitives, have been shown to have impractical utility/pri…
Blending Digital and Face-to-Face Interaction Using a Co-Located Social Media App in Class Open
Improving face-to-face (f2f) interaction in large classrooms is a challenging task as student participation can be hard to initiate. Thanks to the wide adoption of personal mobile devices, it is possible to blend digital and face-to-face i…
Geodabs: Trajectory Indexing Meets Fingerprinting at Scale Open
Finding trajectories and discovering motifs that are similar in large datasets is a central problem for a wide range of applications. Solutions addressing this problem usually rely on spatial indexing and on the computation of a similarity…
Addressing the Free-Rider Problem in Public Transport Systems Open
Public transport network constitutes for an indispensable part of a city by providing mobility services to the general masses. To improve ease of access and reduce infrastructural investments, public transport authorities often adopt proof…
Discovering demographic data of users from the evolution of their spatio-temporal entropy Open
Inferring information related to users enables to highly improve the quality of many mobile services. For example, knowing the demographic characteristics of a user allows a service to display more accurate information. According to the li…
ResPred: A Privacy Preserving Location Prediction System Ensuring Location-based Service Utility Open
Location prediction and location privacy has retained a lot of attention recent years. Predicting locations is the next step of Location-Based Services (LBS) because it provides information not only based on where you are but where you wil…