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» A Linear Genetic Programming Approach to Intrusion Detection
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PKDD
2009
Springer
113views Data Mining» more  PKDD 2009»
15 years 4 months ago
Feature Selection for Density Level-Sets
A frequent problem in density level-set estimation is the choice of the right features that give rise to compact and concise representations of the observed data. We present an e...
Marius Kloft, Shinichi Nakajima, Ulf Brefeld
ISI
2007
Springer
14 years 9 months ago
Host Based Intrusion Detection using Machine Learning
—Detecting unknown malicious code (malcode) is a challenging task. Current common solutions, such as anti-virus tools, rely heavily on prior explicit knowledge of specific instan...
Robert Moskovitch, Shay Pluderman, Ido Gus, Dima S...
DCOSS
2007
Springer
15 years 1 months ago
Energy Efficient Intrusion Detection in Camera Sensor Networks
The problem we address in this paper is how to detect an intruder moving through a polygonal space that is equipped with a camera sensor network. We propose a probabilistic sensor ...
Primoz Skraba, Leonidas J. Guibas
EUROGP
2009
Springer
130views Optimization» more  EUROGP 2009»
15 years 4 months ago
One-Class Genetic Programming
One-class classification naturally only provides one-class of exemplars, the target class, from which to construct the classification model. The one-class approach is constructed...
Robert Curry, Malcolm I. Heywood
GECCO
2005
Springer
162views Optimization» more  GECCO 2005»
15 years 3 months ago
Discovering biological motifs with genetic programming
Choosing the right representation for a problem is important. In this article we introduce a linear genetic programming approach for motif discovery in protein families, and we al...
Rolv Seehuus, Amund Tveit, Ole Edsberg