Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/7487
Title: Collaborative and privacy-aware sensing for observing urban movement patterns
Authors: Goncalves,N
Jose,R
Carlos Baquero
Issue Date: 2014
Abstract: The information infrastructure that pervades urban environments represents a major opportunity for collecting information about Human mobility. However, this huge potential has been undermined by the overwhelming privacy risks that are associated with such forms of large scale sensing. In this research, we are concerned with the problem of how to enable a set of autonomous sensing nodes, e.g. a Bluetooth scanner or a Wi-Fi hotspot, to collaborate in the observation of movement patterns of individuals without compromising their privacy. We describe a novel technique that generates Precedence Filters and allows probabilistic estimations of sequences of visits to monitored locations and we demonstrate how this technique can combine plausible deniability by an individual with valuable information about aggregate movement patterns. © 2014 Springer-Verlag Berlin Heidelberg.
URI: http://repositorio.inesctec.pt/handle/123456789/7487
http://dx.doi.org/10.1007/978-3-642-54568-9-4
metadata.dc.type: conferenceObject
Publication
Appears in Collections:HASLab - Articles in International Conferences

Files in This Item:
File Description SizeFormat 
P-009-CH5.pdf720.02 kBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.