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INCDM
2010
Springer
159views Data Mining» more  INCDM 2010»
15 years 6 months ago
Semi-supervised Learning for False Alarm Reduction
Abstract. Intrusion Detection Systems (IDSs) which have been deployed in computer networks to detect a wide variety of attacks are suffering how to manage of a large number of tri...
Chien-Yi Chiu, Yuh-Jye Lee, Chien-Chung Chang, Wen...
SIMULATION
2010
178views more  SIMULATION 2010»
14 years 8 months ago
Application-level Simulation for Network Security
We introduce and describe a novel network simulation tool called NeSSi (Network Security Simulator). NeSSi incorporates a variety of features relevant to network security distingu...
Stephan Schmidt, Rainer Bye, Joël Chinnow, Ka...
TMI
2002
143views more  TMI 2002»
15 years 1 months ago
A Support Vector Machine Approach for Detection of Microcalcifications
In this paper, we investigate an approach based on support vector machines (SVMs) for detection of microcalcification (MC) clusters in digital mammograms, and propose a successive ...
Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Niko...
METMBS
2004
151views Mathematics» more  METMBS 2004»
15 years 3 months ago
Machine Learning Techniques for the Evaluation of External Skeletal Fixation Structures
In this thesis we compare several machine learning techniques for evaluating external skeletal fixation proposals. We experimented in the context of dog bone fractures but the pot...
Ning Suo, Khaled Rasheed, Walter D. Potter, Dennis...
FOCS
2007
IEEE
15 years 8 months ago
Intrusion-Resilient Secret Sharing
We introduce a new primitive called Intrusion-Resilient Secret Sharing (IRSS), whose security proof exploits the fact that there exist functions which can be efficiently computed ...
Stefan Dziembowski, Krzysztof Pietrzak