Preserving Privacy in Environments with Location-Based Applications

By Ginger Myles, Adrian Friday, Nigel Davies. IEEE pervasive computing, 2003

404 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/8bb9e36fb29afeb4b86a126e8a535cbbd7d048ef

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

1. Sabrina De Capitani di Vimercati
2. Marco Cremonini
3. Claudio Agostino Ardagna
4. Pierangela Samarati
5. Baik Hoh
6. Jaydip Sen
7. Radha Poovendran
8. Andreas Reinhardt

In Computer Vision and Pattern Recognition

1. J. Walters
2. Jaydip Sen
3. Vipin Chaudhary
4. Radha Poovendran
5. Ignas G. Niemegeers
6. Marco Gruteser
7. Salil S. Kanhere
8. Krishna Sampigethaya

In Electrical and Electronic Engineering

1. J. Walters
2. Jaydip Sen
3. Vipin Chaudhary
4. Radha Poovendran
5. Sabrina De Capitani di Vimercati
6. Ignas G. Niemegeers
7. Pierangela Samarati
8. Marco Gruteser

Citations in the corpus

• A survey of indoor positioning systems for wireless personal networks (2009, background): “However, IPSs enable locationbased services and applications in PNs, which also raise significant security and privacy risks [16].”
• Protecting Location Privacy Through Path Confusion (2005, background): “Prior work on location-aware systems has concentrated on privacy-policy mechanisms [19, 18, 12], where service providers publish policies that explain data collection and handling practices to potential users.”
• A survey on privacy in mobile participatory sensing applications (2011, background): “The particular interest for location privacy may be due to the sharing of similar concerns with orthogonal domains addressing this issue, such as vehicular networks [59], location-based services [60], pervasive computing [61], ubiquitous computing [62], etc.”
• A Formal Model of Obfuscation and Negotiation for Location Privacy (2005, background): “, [28, 19, 21]), the IETF draft geographic location privacy charter (GeoPriv; e.”
• Location privacy in pervasive computing (2008, background): “Naguib et al. [38] present a middleware framework, called QoSDREAM , for managing context-aware multimedia applications.”
• AMOEBA: Robust Location Privacy Scheme for VANET (2007, background): “Location privacy protection schemes for mobile networks can be general classified as regulatory [54], policy-based [ 55 ], and anonymity-based approaches [15], [16], [50].”
• Wireless Sensor Network Security: A Survey (2006, background): “Myles and colleagues [53] describe an architecture for a centralized location server that controls access from client applications through a set of validator modules that check XML-encoded application privacy policies.”
• A Survey on Wireless Sensor Network Security (2009, background): “Myles et al have described the architecture of a centralized location server that controls access requests from client applications through a set of validator modules based on a set of XML-coded privacy policies [54].”