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Sindhuja Ravichandran

dblp:131/4776 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Privacy and data protection
anonymization
0.212013
Road network mix-zones for anonymous location based services · ICDE 2013
Privacy and data protection › anonymization
location anonymity
0.212013
Road network mix-zones for anonymous location based services · ICDE 2013
Privacy and data protection
location privacy
0.212013
Road network mix-zones for anonymous location based services · ICDE 2013
Privacy and data protection › location privacy
mix-zone
0.212013
Road network mix-zones for anonymous location based services · ICDE 2013
Spatial and temporal data management
road network
0.012013
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
YearPublicationVenuePosition
2013 Road network mix-zones for anonymous location based services
abstract
We 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
ICDE2