Semantic trajectories modeling and analysis

C Parent, S Spaccapietra, C Renso… - ACM Computing …, 2013 - dl.acm.org
Focus on movement data has increased as a consequence of the larger availability of such
data due to current GPS, GSM, RFID, and sensors techniques. In parallel, interest in …

Privacy protection in pervasive systems: State of the art and technical challenges

C Bettini, D Riboni - Pervasive and Mobile Computing, 2015 - Elsevier
Pervasive and mobile computing applications are dramatically increasing the amount of
personal data released to service providers as well as to third parties. Data includes …

Privacy in geo-social networks: proximity notification with untrusted service providers and curious buddies

S Mascetti, D Freni, C Bettini, XS Wang, S Jajodia - The VLDB journal, 2011 - Springer
A major feature of the emerging geo-social networks is the ability to notify a user when any
of his friends (also called buddies) happens to be geographically in proximity. This proximity …

Location-related privacy in geo-social networks

CR Vicente, D Freni, C Bettini… - IEEE Internet …, 2011 - ieeexplore.ieee.org
Geo-social networks (GeoSNs) provide context-aware services that help associate location
with users and content. The proliferation of GeoSNs indicates that they're rapidly attracting …

Fakemask: A novel privacy preserving approach for smartphones

L Zhang, Z Cai, X Wang - IEEE Transactions on Network and …, 2016 - ieeexplore.ieee.org
Users can enjoy personalized services provided by various context-aware applications that
collect users' contexts through sensor-equipped smartphones. Meanwhile, serious privacy …

[PDF][PDF] The PROBE Framework for the Personalized Cloaking of Private Locations.

ML Damiani, E Bertino, C Silvestri - Trans. Data Priv., 2010 - researchgate.net
The widespread adoption of location-based services (LBS) raises increasing concerns for
the protection of personal location information. A common strategy, referred to as …

Maskit: Privately releasing user context streams for personalized mobile applications

M Götz, S Nath, J Gehrke - Proceedings of the 2012 ACM SIGMOD …, 2012 - dl.acm.org
The rise of smartphones equipped with various sensors has enabled personalization of
various applications based on user contexts extracted from sensor readings. At the same …

Privacy-aware personalization for mobile advertising

M Hardt, S Nath - Proceedings of the 2012 ACM conference on …, 2012 - dl.acm.org
Mobile advertising is an increasingly important driver in the Internet economy. We point out
fundamental trade-offs between important variables in the mobile advertisement ecosystem …

Optimal task recommendation for mobile crowdsourcing with privacy control

Y Gong, L Wei, Y Guo, C Zhang… - IEEE Internet of Things …, 2015 - ieeexplore.ieee.org
Mobile crowdsourcing (MC) is a transformative paradigm that engages a crowd of mobile
users (ie, workers) in the act of collecting, analyzing, and disseminating information or …

Preserving location and absence privacy in geo-social networks

D Freni, C Ruiz Vicente, S Mascetti, C Bettini… - Proceedings of the 19th …, 2010 - dl.acm.org
Online social networks often involve very large numbers of users who share very large
volumes of content. This content is increasingly being tagged with geo-spatial and temporal …