Mix zones: user privacy in location-aware services

By Alastair R. Beresford, Frank Stajano. IEEE Annual Conference on Pervasive Computing and Communications Workshops, 2004. Proceedings of the Second, 2004

592 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/2aadcac9f1db6c8300620d13aa168a78cca9a0c9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

In Sociology and Political Science

Citations in the corpus

Unraveling an old cloak: k-anonymity for location privacy (2010, background): “, mix zones [1]); they may obfuscate the queries by decreasing the accuracy or precision of their location/time (e.”
Location Privacy Protection Through Obfuscation-Based Techniques (2007, methodology): “Beresford and Stajano [6] present mix zones, a method used to enhance privacy in LBSs managed by trusted middlewares.”
Security and Cooperation in Wireless Networks (2007, background): “The concept of the mix zone is proposed by Beresfrod and Stajano in [51, 52] in the context of location based services in ubiquitous computing systems.”
Location privacy in pervasive computing (2008, methodology): “4 based on the personal identification of a user for their provision [9, 10, 21, 24].”
Pseudonym Changing at Social Spots: An Effective Strategy for Location Privacy in VANETs (2012, background): “Following Beresford and Stajano’s seminal work [10], the location privacy of a vehicle that corresponds to a PC event is the entropy of Pi→PC , i.”
Mix-Zones for Location Privacy in Vehicular Networks (2007, methodology): “In order to achieve location privacy in a pervasive computing environment, Beresford and Stajano propose in [2] the concept of mix-zones where a natural mixing of mobile nodes occurs.”
Virtual trip lines for distributed privacy-preserving traffic monitoring (2008, background): “There are many best effort approaches [14, 54, 45, 35, 15] that degrade information in a controlled way before releasing it.”
Protecting Location Privacy Through Path Confusion (2005, background): “They proposed the mix zone concept in which a trusted proxy removes all samples before it passes location samples to application servers [7].”
Preserving privacy in gps traces via uncertainty-aware path cloaking (2007, methodology): “[7] A. Beresford and F. Stajano.”
Protecting Privacy Against Location-Based Personal Identification (2005, background): “Location privacy issues have also been addressed in [2, 1].”