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» Learning network structure from passive measurements
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KES
2007
Springer
14 years 1 months ago
Predictive and Contextual Feature Separation for Bayesian Metanetworks
Bayesian Networks are proven to be a comprehensive model to describe causal relationships among domain attributes with probabilistic measure of conditional dependency. However, dep...
Vagan Y. Terziyan
CONEXT
2009
ACM
13 years 8 months ago
StarClique: guaranteeing user privacy in social networks against intersection attacks
Building on the popularity of online social networks (OSNs) such as Facebook, social content-sharing applications allow users to form communities around shared interests. Millions...
Krishna P. N. Puttaswamy, Alessandra Sala, Ben Y. ...
SP
2010
IEEE
165views Security Privacy» more  SP 2010»
13 years 11 months ago
A Practical Attack to De-anonymize Social Network Users
—Social networking sites such as Facebook, LinkedIn, and Xing have been reporting exponential growth rates. These sites have millions of registered users, and they are interestin...
Gilbert Wondracek, Thorsten Holz, Engin Kirda, Chr...
WONS
2005
IEEE
14 years 1 months ago
Fast Distributed Algorithm for Convergecast in Ad Hoc Geometric Radio Networks
—Wireless ad hoc radio networks have gained a lot of attention in recent years. We consider geometric networks, where nodes are located in a euclidean plane. We assume that each ...
Alexander Kesselman, Dariusz R. Kowalski
ECCB
2005
IEEE
14 years 1 months ago
A query language for biological networks
Many areas of modern biology are concerned with the management, storage, visualization, comparison, and analysis of networks. For instance, networks are used to model signal trans...
Ulf Leser