Location Privacy in Pervasive Computing
By Alastair R. Beresford, Frank Stajano. IEEE pervasive computing, 2003
771 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems
View Paper: https://www.semanticscholar.org/paper/523c226a32361acf9c7f856c8d7e4eb8d59fe786
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
- Reynold Cheng
- Sunil Prabhakar
- Dmitri V. Kalashnikov
- Aris Gkoulalas-Divanis
- Nigel Davies
- Hui Li
- John Millar Carroll
- Xin (Robert) Luo
In Information Systems
- Gennady L. Andrienko
- Nigel Davies
- Hui Li
- John Millar Carroll
- Xin (Robert) Luo
- Li Xiong
- Mary Beth Rosson
- Frank Kargl
Citations in the corpus
- Preserving Privacy in Environments with Location-Based Applications (2003, background): “[ 8 ]). In our current system we take an approach that relies on users having multiple identifiers.”
- Querying imprecise data in moving object environments (2003, methodology): “Some researchers suggest the use of “policies”, in which the service provider is required to state explicitly how user’s location information can be used [20, 10, 9]. In another proposal, a user “cloaks” her information before sending it to the LBS, by providing her location at a lower resolution in”
- Protecting Locations with Differential Privacy under Temporal Correlations (2014, background): “One major concern of location based applications is location privacy [3].”
- Pseudonym Schemes in Vehicular Networks: A Survey (2015, methodology): “Beresford and Stajano [51] define location privacy as “the ability to prevent other parties from learning one’s current or past location.””
- Security in Wireless Sensor Networks (2008, neutral): “Beresford and Stajano (2003) evaluate anonymity techniques for an indoor location-based system based on the active nat.”
- The personalization privacy paradox: An exploratory study of decision making process for location-aware marketing (2011, background): “reveals the position of a person in real time, rendering the potential intrusion of privacy a critical concern [11].”
- Achieving k-anonymity in privacy-aware location-based services (2014, background): “To address the privacy issue, many approaches [1], [2] have been proposed in the literature over the past few years.”
- Semantic trajectories modeling and analysis (2013, background): “Research on privacy of position data took off with the emergence of mobile applications based on stored people’s tracks [Gruteser and Grunwald 2003; Beresford and Stajano 2003].”