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» Measuring Security Risk of Networks Using Attack Graphs
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KDD
2009
ACM
180views Data Mining» more  KDD 2009»
14 years 8 months ago
Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
Sofus A. Macskassy
PVLDB
2008
146views more  PVLDB 2008»
13 years 7 months ago
Resisting structural re-identification in anonymized social networks
We identify privacy risks associated with releasing network data sets and provide an algorithm that mitigates those risks. A network consists of entities connected by links repres...
Michael Hay, Gerome Miklau, David Jensen, Donald F...
PAM
2007
Springer
14 years 1 months ago
A Measurement Study of Scheduler-Based Attacks in 3G Wireless Networks
Though high-speed (3G) wide-area wireless networks have been rapidly proliferating, little is known about the robustness and security properties of these networks. In this paper, w...
Soshant Bali, Sridhar Machiraju, Hui Zang, Victor ...
ICC
2007
IEEE
157views Communications» more  ICC 2007»
14 years 1 months ago
Secure Aggregation in Sensor Networks Using Neighborhood Watch
Abstract— Many sensor networks (SN) use in-network aggregation to minimize the amount of data transmitted by sensors. Unfortunately, aggregation makes the network more vulnerable...
Paul Rabinovich, Robert Simon
COMPUTER
2004
80views more  COMPUTER 2004»
13 years 7 months ago
Radiation Detection with Distributed Sensor Networks
Given the heightened awareness and response to threats posed to national security, it is important to evaluate, and if possible, improve current measures being taken to ensure our...
Sean M. Brennan, Angela M. Mielke, David C. Torney...