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» Defending Mobile Phones from Proximity Malware
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ICDE
2010
IEEE
359views Database» more  ICDE 2010»
16 years 5 months ago
Policy-Aware Sender Anonymity in Location Based Services
Sender anonymity in location-based services (LBS) attempts to hide the identity of a mobile device user who sends requests to the LBS provider for services in her proximity (e.g. &...
Alin Deutsch, Richard Hull, Avinash Vyas, Kevin Ke...
ACSAC
2006
IEEE
15 years 12 months ago
Delegate: A Proxy Based Architecture for Secure Website Access from an Untrusted Machine
Performing sensitive online transactions using computers found in cybercaf´es and public libraries is risky. The untrusted nature of these machines creates a target rich environm...
Ravi Chandra Jammalamadaka, Timothy W. van der Hor...
AAAI
2011
14 years 5 months ago
Composite Social Network for Predicting Mobile Apps Installation
We have carefully instrumented a large portion of the population living in a university graduate dormitory by giving participants Android smart phones running our sensing software...
Wei Pan, Nadav Aharony, Alex Pentland
CSCW
2011
ACM
15 years 23 days ago
CoupleVIBE: mobile implicit communication to improve awareness for (long-distance) couples
Long-distance couples face considerable communication challenges in their relationships. Unlike collocated couples, long-distance couples lack awareness cues associated with physi...
Elizabeth Bales, Kevin A. Li, William Griwsold
ICTAI
2006
IEEE
15 years 11 months ago
On the Relationships between Clustering and Spatial Co-location Pattern Mining
The goal of spatial co-location pattern mining is to find subsets of spatial features frequently located together in spatial proximity. Example co-location patterns include servi...
Yan Huang, Pusheng Zhang