M
Maria Luisa Damiani
Researcher at University of Milan
Publications - 91
Citations - 2952
Maria Luisa Damiani is an academic researcher from University of Milan. The author has contributed to research in topics: Access control & Location-based service. The author has an hindex of 22, co-authored 90 publications receiving 2767 citations. Previous affiliations of Maria Luisa Damiani include École Polytechnique.
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Journal ArticleDOI
A conceptual view on trajectories
Stefano Spaccapietra,Christine Parent,Maria Luisa Damiani,José Antônio Fernandes de Macêdo,Fabio Porto,Christelle Vangenot +5 more
TL;DR: This paper explores how conceptual modeling could provide applications with direct support of trajectories (i.e. movement data that is structured into countable semantic units) as a first class concept and proposes two modeling approaches based on a design pattern and a dedicated data types.
Journal ArticleDOI
Semantic trajectories modeling and analysis
Christine Parent,Stefano Spaccapietra,Chiara Renso,Gennady Andrienko,Natalia Andrienko,Vania Bogorny,Maria Luisa Damiani,Aris Gkoulalas-Divanis,José Antônio Fernandes de Macêdo,Nikos Pelekis,Yannis Theodoridis,Zhixian Yan +11 more
TL;DR: A survey of the approaches and techniques for constructing trajectories from movement tracks, enriching trajectories with semantic information to enable the desired interpretations of movements, and using data mining to analyze semantic trajectories to extract knowledge about their characteristics.
Proceedings ArticleDOI
GEO-RBAC: a spatially aware RBAC
TL;DR: This paper presents GEO-RBAC, an extension of the RBAC model to deal with spatial and location-based information and introduces the concept of role schema, which is extended to cope with hierarchies, modeling permission, user, and activation inheritance.
Proceedings ArticleDOI
Preventing velocity-based linkage attacks in location-aware applications
TL;DR: This work proposes spatial and temporal cloaking transformations to preserve user privacy, and shows experimentally that privacy can be achieved without significant quality of service deterioration.
Journal Article
The PROBE Framework for the Personalized Cloaking of Private Locations
TL;DR: A novel privacy model and an architectural framework for the personalized cloaking of semantic locations that satisfies the privacy constraints specified by the user in the privacy profile (obfuscated location) is presented.