Demo Data from EDBT 2026 / reviewers in the wild / expert
Sindhuja Ravichandran
dblp:131/4776
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Network and information security
1 paper |
Privacy and data protection · 100% | |
| Databases, data mining, and information retrieval
1 paper |
Spatial and temporal data management · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Privacy and data protection
anonymization |
0.2 | 1 | 2013 | Road network mix-zones for anonymous location based services · ICDE 2013 |
Privacy and data protection › anonymization
location anonymity |
0.2 | 1 | 2013 | Road network mix-zones for anonymous location based services · ICDE 2013 |
Privacy and data protection
location privacy |
0.2 | 1 | 2013 | Road network mix-zones for anonymous location based services · ICDE 2013 |
Privacy and data protection › location privacy
mix-zone |
0.2 | 1 | 2013 | Road network mix-zones for anonymous location based services · ICDE 2013 |
Spatial and temporal data management
road network |
0.0 | 1 | 2013 | Road network mix-zones for anonymous location based services · ICDE 2013 |
Methods — techniques the papers use, named apart from their topics
mix-zone construction and placement · 0.3GTMobiSim · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | Road network mix-zones for anonymous location based servicesabstractWe present MobiMix, a road network based mix-zone framework to protect location privacy of mobile users traveling on road networks. An alternative and complementary approach to spatial cloaking based location privacy protection is to break the continuity of location exposure by introducing techniques, such as mix-zones, where no applications can trace user movements. However, existing mixzone proposals fail to provide effective mix-zone construction and placement algorithms that are resilient to timing and transition attacks. In MobiMix, mix-zones are constructed and placed by carefully taking into consideration of multiple factors, such as the geometry of the zones, the statistical behavior of the user population, the spatial constraints on movement patterns of the users, and the temporal and spatial resolution of the location exposure. In this demonstration, we first introduce a visualization of the location privacy risks of mobile users traveling on road networks and show how mixzone based anonymization breaks the continuity of location exposure to protect user location privacy. We demonstrate a suite of road network mix-zone construction and placement methods that provide higher level of resilience to timing and transition attacks on road networks. We show the effectiveness of the MobiMix approach through detailed visualization using traces produced by GTMobiSim on different scales of geographic maps. Balaji Palanisamy, Sindhuja Ravichandran, Ling Liu 0001, Binh Han, Kisung Lee, Calton Pu |
ICDE | 2 |