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» Kronecker Graphs: An Approach to Modeling Networks
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ALENEX
2003
137views Algorithms» more  ALENEX 2003»
13 years 10 months ago
The Markov Chain Simulation Method for Generating Connected Power Law Random Graphs
Graph models for real-world complex networks such as the Internet, the WWW and biological networks are necessary for analytic and simulation-based studies of network protocols, al...
Christos Gkantsidis, Milena Mihail, Ellen W. Zegur...
DBSEC
2009
122views Database» more  DBSEC 2009»
13 years 9 months ago
An Approach to Security Policy Configuration Using Semantic Threat Graphs
Managing the configuration of heterogeneous enterprise security mechanisms is a wholly complex task. The effectiveness of a configuration may be constrained by poor understanding a...
Simon N. Foley, William M. Fitzgerald
AB
2008
Springer
14 years 3 months ago
Local Structure and Behavior of Boolean Bioregulatory Networks
Abstract. A well-known discrete approach to modeling biological regulatory networks is the logical framework developed by R. Thomas. The network structure is captured in an interac...
Heike Siebert
TSP
2011
197views more  TSP 2011»
13 years 3 months ago
Group Object Structure and State Estimation With Evolving Networks and Monte Carlo Methods
—This paper proposes a technique for motion estimation of groups of targets based on evolving graph networks. The main novelty over alternative group tracking techniques stems fr...
Amadou Gning, Lyudmila Mihaylova, Simon Maskell, S...
CDC
2010
IEEE
272views Control Systems» more  CDC 2010»
13 years 3 months ago
Node capture attacks in wireless sensor networks: A system theoretic approach
In this paper we address the problem of physical node capture attacks in wireless sensor networks and provide a control theoretic framework to model physical node capture, cloned n...
Tamara Bonaci, Linda Bushnell, Radha Poovendran