On the anonymity of home/work location pairs
Web28 de fev. de 2011 · We evaluate the ability of location-based services to identify users and their points of interests based on different sets of location information. We consider real life scenarios of users sharing location information with location-based services and quantify the privacy risk by experimenting with real-world mobility traces. Web11 de mai. de 2009 · Download Citation On the Anonymity of Home/Work Location Pairs Many applications benet from user location data, but lo- cation data raises privacy …
On the anonymity of home/work location pairs
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Web10 de abr. de 2016 · View flipping ebook version of On the Anonymity of Home/Work Location Pairs published by on 2016-04-10. Interested in flipbooks about On the … http://xenon.stanford.edu/~pgolle/papers/commute.pdf
WebOn the Anonymity of Home/Work Location Pairs Philippe Golle and Kurt Partridge Palo Alto Research Center {pgolle,kurt}@parc.com Abstract. Many applications benefit from user location data, but lo-cation data raises privacy concerns. Anonymization can protect privacy, but identities can sometimes be inferred from supposedly anonymous data. Web11 de mai. de 2009 · This paper studies a new attack on the anonymity of location data. We show that if the approximate locations of an individual's home and workplace can …
Web1 de out. de 2016 · On the anonymity of home work location pairs In pages. Golle. Location privacy via private proximity testing In. Narayanan. You’re reading a free preview. Subscribe to read the entire article. Try 2 weeks free now . DeepDyve is your personal research library. WebCreated Date: 1/29/2009 2:26:35 PM
WebIn this paper we analyze a class of location disclosure in which location information from individuals is generated in an automated way, i.e. is observed by a ubiquitous infrastructure. Since such information is valuable for both scientific research and commercial...
WebGolle P, Partridge K (2009) On the anonymity of home/work location pairs. In: Proceedings of the 7th international conference on pervasive computing (Pervasive '09), … smart and final frozen foodshill cipher examplesWebThis paper studies a new attack on the anonymity of location data. We show that if the approximate locations of an individual's home and workplace can both be deduced from … smart and final frozen shrimpWebThis paper studies a new attack on the anonymity of location data. We show that if the approximate locations of an individual's home and workplace can both be deduced from a location trace, then the median size of the individual's anonymity set in the U.S. working population is 1, 21 and 34,980, for locations known at the granularity of a census block, … hill cipher javatpointWebOn the Anonymity of Home/Work Location Pairs. P. Golle, K. Partridge; Computer Science, Mathematics. Pervasive. 2009; TLDR. If the approximate locations of an individual's home and workplace can both be deduced from a location trace, then the median size of the individual's anonymity set in the U.S. working population is 1, 21 and … hill cipher java codeWebOne common assumption when defining location privacy metrics is that one is dealing with attackers who have the objective of re-identifying an individual out of an anonymized data set. However, in today's communication scenarios, user communication and information exchange with (partially) trusted peers is very common, e.g., in communication via social … hill cipher in java programWebWe show that if the approximate locations of an individual’s home and workplace can both be deduced from a location trace, then the median size of the individual’s anonymity set in the U.S. working population is 1, 21 and 34,980, for locations known at the granularity of … hill cipher mcq